├── README.md └── code ├── README.md ├── collect.py ├── main.ipynb ├── neurips2023.csv └── neurips2023_graphs.csv /README.md: -------------------------------------------------------------------------------- 1 | # [NeurIPS2023] Learning on Graphs 2 | 3 | | Title | OpenReview | Authors | 4 | | -------- | ------- | ------- | 5 | | Generative Pre-Training of Spatio-Temporal Graph Neural Networks | [here](https://openreview.net/forum?id=nMH5cUaSj8) | Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang | 6 | | Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing | [here](https://openreview.net/forum?id=0eXniewIvr) | Jung Yeon Park, Lawson Wong, Robin Walters | 7 | | Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data | [here](https://openreview.net/forum?id=XkcufOcgUc) | Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan | 8 | | Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment | [here](https://openreview.net/forum?id=17Zkztjlgt) | Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann | 9 | | Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT | [here](https://openreview.net/forum?id=zr1e15kczE) | Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He | 10 | | Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs | [here](https://openreview.net/forum?id=Kd5W4JRsfV) | Muhammed Fatih Balin, Ümit Çatalyürek | 11 | | Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points | [here](https://openreview.net/forum?id=9yhYcjsdab) | Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló | 12 | | GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels | [here](https://openreview.net/forum?id=ihlT8yvQ2I) | Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan | 13 | | Can Language Models Solve Graph Problems in Natural Language? | [here](https://openreview.net/forum?id=UDqHhbqYJV) | Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov | 14 | | Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem | [here](https://openreview.net/forum?id=TQlpqmCeMe) | Tal Amir, Steven Gortler, Ilai Avni, Ravina Ravina, Nadav Dym | 15 | | AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity | [here](https://openreview.net/forum?id=7ntI4kcoqG) | Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman | 16 | | HyTrel: Hypergraph-enhanced Tabular Data Representation Learning | [here](https://openreview.net/forum?id=7vqlzODS28) | Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis | 17 | | Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network | [here](https://openreview.net/forum?id=28RTu9MOT6) | Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu | 18 | | Does Graph Distillation See Like Vision Dataset Counterpart? | [here](https://openreview.net/forum?id=VqIWgUVsXc) | Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li | 19 | | How to Turn Your Knowledge Graph Embeddings into Generative Models | [here](https://openreview.net/forum?id=RSGNGiB1q4) | Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari | 20 | | AutoGO: Automated Computation Graph Optimization for Neural Network Evolution | [here](https://openreview.net/forum?id=lDI3ZuyzM9) | Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, CHUNHUA ZHOU, Fengyu Sun, Di Niu | 21 | | LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching | [here](https://openreview.net/forum?id=xE7oH5iVGK) | Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan Ngoc Pham, Tri Cao, Binh Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert | 22 | | Optimality of Message-Passing Architectures for Sparse Graphs | [here](https://openreview.net/forum?id=d1knqWjmNt) | Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath | 23 | | LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings | [here](https://openreview.net/forum?id=7zkFc9TGKz) | Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi | 24 | | A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking | [here](https://openreview.net/forum?id=m2mbfoSuJ1) | Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang | 25 | | Universal Prompt Tuning for Graph Neural Networks | [here](https://openreview.net/forum?id=0LmWBhIYLi) | Taoran Fang, Yunchao Zhang, YANG YANG, Chunping Wang, Lei Chen | 26 | | PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis | [here](https://openreview.net/forum?id=3jAsfo8x8k) | Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari | 27 | | Fair Graph Distillation | [here](https://openreview.net/forum?id=xW0ayZxPWs) | Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu | 28 | | D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion | [here](https://openreview.net/forum?id=GJtP1ZEzua) | Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying | 29 | | SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations | [here](https://openreview.net/forum?id=kBBsj9KRgh) | Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu | 30 | | Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications | [here](https://openreview.net/forum?id=uqkUguNu40) | Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu | 31 | | TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery | [here](https://openreview.net/forum?id=6OOgw4boZI) | Jialin Chen, Rex Ying | 32 | | Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization | [here](https://openreview.net/forum?id=n8JWIzYPRz) | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li | 33 | | Expressivity-Preserving GNN Simulation | [here](https://openreview.net/forum?id=ytTfonl9Wd) | Fabian Jogl, Maximilian Thiessen, Thomas Gärtner | 34 | | Practical Contextual Bandits with Feedback Graphs | [here](https://openreview.net/forum?id=l6pYRbuHpO) | Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro | 35 | | Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets | [here](https://openreview.net/forum?id=sTjW3JHs2V) | Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan | 36 | | MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data | [here](https://openreview.net/forum?id=4UCktT9XZx) | Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao | 37 | | Characterization and Learning of Causal Graphs with Small Conditioning Sets | [here](https://openreview.net/forum?id=cANkPsVtsw) | Murat Kocaoglu | 38 | | GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search | [here](https://openreview.net/forum?id=cQdc9Dyk4i) | Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan | 39 | | A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs | [here](https://openreview.net/forum?id=dAJrxQz1lk) | Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang | 40 | | Uncertainty Quantification over Graph with Conformalized Graph Neural Networks | [here](https://openreview.net/forum?id=ygjQCOyNfh) | Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec | 41 | | [Re] On Explainability of Graph Neural Networks via Subgraph Explorations | [here](https://openreview.net/forum?id=zKBJw4Ht8s) | Yannik Mahlau, Lukas Berg, Leonie Kayser | 42 | | NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics | [here](https://openreview.net/forum?id=MEa0cQeURw) | Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos | 43 | | WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding | [here](https://openreview.net/forum?id=ZrG8kTbt70) | Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang | 44 | | Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion | [here](https://openreview.net/forum?id=j7x9wW3tCf) | Kunxun Qi, Jianfeng Du, Hai Wan | 45 | | Deep Insights into Noisy Pseudo Labeling on Graph Data | [here](https://openreview.net/forum?id=XhNlBvb4XV) | Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung | 46 | | Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data | [here](https://openreview.net/forum?id=gpyeRyc858) | Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song | 47 | | On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data | [here](https://openreview.net/forum?id=vEzcRdiTkP) | Federico Errica | 48 | | Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes | [here](https://openreview.net/forum?id=H57w5EOj6O) | Cai Zhou, Xiyuan Wang, Muhan Zhang | 49 | | Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning | [here](https://openreview.net/forum?id=MYfqIVcQrp) | Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang | 50 | | Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power | [here](https://openreview.net/forum?id=94rKFkcm56) | Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang | 51 | | Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs | [here](https://openreview.net/forum?id=xSEhb2j3TK) | Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan | 52 | | Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks | [here](https://openreview.net/forum?id=5Fr8Nwi5KF) | Xin Yan, Hui Fang, Qiang He | 53 | | OpenGSL: A Comprehensive Benchmark for Graph Structure Learning | [here](https://openreview.net/forum?id=yXLyhKvK4D) | Zhou Zhiyao, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang | 54 | | Accelerating Molecular Graph Neural Networks via Knowledge Distillation | [here](https://openreview.net/forum?id=A18PgVSUgf) | Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger | 55 | | Approximately Equivariant Graph Networks | [here](https://openreview.net/forum?id=5aeyKAZr0L) | Ningyuan Huang, Ron Levie, Soledad Villar | 56 | | (Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More | [here](https://openreview.net/forum?id=mLe63bAYc7) | Jan Schuchardt, Yan Scholten, Stephan Günnemann | 57 | | Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond | [here](https://openreview.net/forum?id=m7PIJWOdlY) | Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova | 58 | | Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions | [here](https://openreview.net/forum?id=GPtroppvUM) | Lukas Gosch, Simon Markus Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann | 59 | | Graph Clustering with Graph Neural Networks | nan | Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller | 60 | | A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning | [here](https://openreview.net/forum?id=ZITOHWeAy7) | Yiyou Sun, Zhenmei Shi, Yixuan Li | 61 | | LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference | [here](https://openreview.net/forum?id=5loV5tVzsY) | Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding | 62 | | Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction | [here](https://openreview.net/forum?id=RHDXkRPNQa) | Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen | 63 | | Learning Efficient Surrogate Dynamic Models with Graph Spline Networks | [here](https://openreview.net/forum?id=MGPST5I9DO) | Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park | 64 | | Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman | [here](https://openreview.net/forum?id=UlJcZoawgU) | Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen | 65 | | MAG-GNN: Reinforcement Learning Boosted Graph Neural Network | [here](https://openreview.net/forum?id=K4FK7I8Jnl) | Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang | 66 | | GALOPA: Graph Transport Learning with Optimal Plan Alignment | [here](https://openreview.net/forum?id=rzlqOVExUA) | Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li | 67 | | UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction | [here](https://openreview.net/forum?id=u2cXRGm95Y) | Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong | 68 | | Learning Nonparametric Latent Causal Graphs with Unknown Interventions | [here](https://openreview.net/forum?id=S8DFqgmEbe) | Yibo Jiang, Bryon Aragam | 69 | | Learning Large Graph Property Prediction via Graph Segment Training | [here](https://openreview.net/forum?id=3YDukx2cpr) | Kaidi Cao, Mangpo Phothilimtha, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi | 70 | | TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs | [here](https://openreview.net/forum?id=plAix1NxhU) | Mangpo Phothilimtha, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi | 71 | | Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? | [here](https://openreview.net/forum?id=oef30oScVB) | Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang | 72 | | Fine-grained Expressivity of Graph Neural Networks | [here](https://openreview.net/forum?id=jt10uWlEbc) | Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris | 73 | | On the Minimax Regret for Online Learning with Feedback Graphs | [here](https://openreview.net/forum?id=XfYpIaKDb6) | Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi | 74 | | Temporal Graph Benchmark for Machine Learning on Temporal Graphs | [here](https://openreview.net/forum?id=qG7IkQ7IBO) | Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany | 75 | | Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis | [here](https://openreview.net/forum?id=UQ8pDKcXTq) | Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang | 76 | | Evaluating Self-Supervised Learning for Molecular Graph Embeddings | [here](https://openreview.net/forum?id=pyhv4qYCEJ) | Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu | 77 | | GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection | [here](https://openreview.net/forum?id=5HisVXnx0n) | Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos | 78 | | GSLB: The Graph Structure Learning Benchmark | [here](https://openreview.net/forum?id=xT3i5GS3zU) | Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu | 79 | | GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | [here](https://openreview.net/forum?id=U5uRXlLwnM) | Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li | 80 | | DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization | [here](https://openreview.net/forum?id=JV8Ff0lgVV) | Zhiqing Sun, Yiming Yang | 81 | | Generalised f-Mean Aggregation for Graph Neural Networks | [here](https://openreview.net/forum?id=JMrIeKjTAe) | Ryan Kortvelesy, Steven D Morad, Amanda Prorok | 82 | | Towards Label Position Bias in Graph Neural Networks | [here](https://openreview.net/forum?id=IKjOMA8olL) | Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang | 83 | | Faster approximate subgraph counts with privacy | [here](https://openreview.net/forum?id=Fqg9vGWy4k) | Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti | 84 | | Does Invariant Graph Learning via Environment Augmentation Learn Invariance? | [here](https://openreview.net/forum?id=EqpR9Vtt13) | Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng | 85 | | Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems | [here](https://openreview.net/forum?id=CnvZ7FIyAD) | Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen | 86 | | Outlier-Robust Gromov-Wasserstein for Graph Data | [here](https://openreview.net/forum?id=BKAFLUcpBS) | Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So | 87 | | Recurrent Temporal Revision Graph Networks | [here](https://openreview.net/forum?id=B3UDx1rNOy) | Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou | 88 | | Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs | [here](https://openreview.net/forum?id=AtHJ7TLheF) | Yeyuan Chen, Dingmin Wang | 89 | | A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs | [here](https://openreview.net/forum?id=7hLlZNrkt5) | Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló | 90 | | Fragment-based Pretraining and Finetuning on Molecular Graphs | [here](https://openreview.net/forum?id=77Nq1KjmLl) | Kha-Dinh Luong, Ambuj K Singh | 91 | | Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics | [here](https://openreview.net/forum?id=35nFSbEBks) | Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang | 92 | | Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions | [here](https://openreview.net/forum?id=1zKRwh5Rl2) | Duligur Ibeling, Thomas Icard | 93 | | Graph Contrastive Learning with Stable and Scalable Spectral Encoding | [here](https://openreview.net/forum?id=0kz5RmHxmE) | Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi | 94 | | Graph Convolutional Kernel Machine versus Graph Convolutional Networks | [here](https://openreview.net/forum?id=SFfOt1oDsX) | Zhihao Wu, Zhao Zhang, Jicong Fan | 95 | | Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection | [here](https://openreview.net/forum?id=dd3KNayGFz) | Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic | 96 | | Latent Graph Inference with Limited Supervision | [here](https://openreview.net/forum?id=tGuMwFnRZX) | Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu | 97 | | A Fractional Graph Laplacian Approach to Oversmoothing | [here](https://openreview.net/forum?id=kS7ED7eE74) | Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok | 98 | | Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach | [here](https://openreview.net/forum?id=SHVwG9yOEk) | Nurendra Choudhary, Nikhil Rao, Chandan Reddy | 99 | | Transfer learning for atomistic simulations using GNNs and kernel mean embeddings | [here](https://openreview.net/forum?id=Enzew8XujO) | John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil | 100 | | Data-Centric Learning from Unlabeled Graphs with Diffusion Model | [here](https://openreview.net/forum?id=DmakwvCJ7l) | Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang | 101 | | Zero-One Laws of Graph Neural Networks | [here](https://openreview.net/forum?id=DGmxTUCHYs) | Sam Adam-Day, Iliant, Ismail Ceylan | 102 | | CAT-Walk: Inductive Hypergraph Learning via Set Walks | [here](https://openreview.net/forum?id=QG4nJBNEar) | Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer | 103 | | Bayesian Optimisation of Functions on Graphs | [here](https://openreview.net/forum?id=UuNd9A6noD) | Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong | 104 | | Affinity-Aware Graph Networks | [here](https://openreview.net/forum?id=qgiG7WZohZ) | Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi | 105 | | Reversible and irreversible bracket-based dynamics for deep graph neural networks | [here](https://openreview.net/forum?id=4SoTUaTK8N) | Anthony Gruber, Kookjin Lee, Nathaniel Trask | 106 | | V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs | [here](https://openreview.net/forum?id=CtXXOaxDw7) | Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang | 107 | | The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models | [here](https://openreview.net/forum?id=uN71BdBEG8) | Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz | 108 | | Towards Better Dynamic Graph Learning: New Architecture and Unified Library | [here](https://openreview.net/forum?id=xHNzWHbklj) | Le Yu, Leilei Sun, Bowen Du, Weifeng Lv | 109 | | Quasi-Monte Carlo Graph Random Features | [here](https://openreview.net/forum?id=zCFfv49MjE) | Isaac Reid, Adrian Weller, Krzysztof M Choromanski | 110 | | GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning | [here](https://openreview.net/forum?id=Tt6DrRCgJV) | Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu | 111 | | Interpretable Graph Networks Formulate Universal Algebra Conjectures | [here](https://openreview.net/forum?id=Psnph85KYc) | Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero | 112 | | Neural Graph Generation from Graph Statistics | [here](https://openreview.net/forum?id=EI6BHFKA5p) | Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte | 113 | | Towards Self-Interpretable Graph-Level Anomaly Detection | [here](https://openreview.net/forum?id=SAzaC8f3cM) | Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan | 114 | | CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs | [here](https://openreview.net/forum?id=1SF2tiopYJ) | Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam | 115 | | Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis | [here](https://openreview.net/forum?id=eD534mPhAg) | Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He | 116 | | Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks | [here](https://openreview.net/forum?id=enfx8HM4Rp) | Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang | 117 | | TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph | [here](https://openreview.net/forum?id=oaGdsgB18L) | Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun | 118 | | PRODIGY: Enabling In-context Learning Over Graphs | [here](https://openreview.net/forum?id=pLwYhNNnoR) | Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec | 119 | | Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective | [here](https://openreview.net/forum?id=sJDkwMVqb9) | Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin | 120 | | Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion | [here](https://openreview.net/forum?id=hSTaTBIUCj) | Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua | 121 | | GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph | [here](https://openreview.net/forum?id=YmEDnMynuO) | Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang | 122 | | Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization | [here](https://openreview.net/forum?id=z3HACY5CMa) | Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji | 123 | | Taming Local Effects in Graph-based Spatiotemporal Forecasting | [here](https://openreview.net/forum?id=x2PH6q32LR) | Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi | 124 | | From Trainable Negative Depth to Edge Heterophily in Graphs | [here](https://openreview.net/forum?id=p8lowHbuv8) | Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong | 125 | | Graph of Circuits with GNN for Exploring the Optimal Design Space | [here](https://openreview.net/forum?id=VNjJAWjuEU) | Aditya Shahane, Saripilli Swapna Manjiri, Ankesh Jain, Sandeep Kumar | 126 | | Self-supervised Graph Neural Networks via Low-Rank Decomposition | [here](https://openreview.net/forum?id=XvGQ6F3sG8) | Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Xiaochun Cao, Chuan Wang | 127 | | Certifiably Robust Graph Contrastive Learning | [here](https://openreview.net/forum?id=o50nH0sV9x) | Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang | 128 | | Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | [here](https://openreview.net/forum?id=nq4OhifyEe) | Hezhe Qiao, Guansong Pang | 129 | | Efficient Learning of Linear Graph Neural Networks via Node Subsampling | [here](https://openreview.net/forum?id=rQI3FOzo1f) | Seiyun Shin, Ilan Shomorony, Han Zhao | 130 | | Graph Denoising Diffusion for Inverse Protein Folding | [here](https://openreview.net/forum?id=u4YXKKG5dX) | Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang | 131 | | PlanE: Representation Learning over Planar Graphs | [here](https://openreview.net/forum?id=u2RJ0I3o3j) | Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ceylan | 132 | | A Metadata-Driven Approach to Understand Graph Neural Networks | [here](https://openreview.net/forum?id=FgakGFpll1) | Ting Wei Li, Qiaozhu Mei, Jiaqi Ma | 133 | | Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks | [here](https://openreview.net/forum?id=m2WR1yJ8N9) | Jiarong Xu, Renhong Huang, XIN JIANG, Yuxuan Cao, Carl Yang, Chunping Wang, YANG YANG | 134 | | Language Semantic Graph Guided Data-Efficient Learning | [here](https://openreview.net/forum?id=tUyW68cRqr) | Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang | 135 | | The expressive power of pooling in Graph Neural Networks | [here](https://openreview.net/forum?id=zqyVjCjhYD) | Filippo Maria Bianchi, Veronica Lachi | 136 | | Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach | [here](https://openreview.net/forum?id=xtADRDRsM2) | Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay | 137 | | Learning Invariant Representations of Graph Neural Networks via Cluster Generalization | [here](https://openreview.net/forum?id=zrCmeqV3Sz) | Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi | 138 | | Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift | [here](https://openreview.net/forum?id=hIGZujtOQv) | Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He | 139 | | LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees | [here](https://openreview.net/forum?id=VPTZVVP4tm) | Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So | 140 | | Simplifying and Empowering Transformers for Large-Graph Representations | [here](https://openreview.net/forum?id=R4xpvDTWkV) | Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan | 141 | | Interpretable Prototype-based Graph Information Bottleneck | [here](https://openreview.net/forum?id=icWwBKyVMs) | Sangwoo Seo, Sungwon Kim, Chanyoung Park | 142 | | A new perspective on building efficient and expressive 3D equivariant graph neural networks | [here](https://openreview.net/forum?id=hWPNYWkYPN) | weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma | 143 | | On the Ability of Graph Neural Networks to Model Interactions Between Vertices | [here](https://openreview.net/forum?id=ayZpFoAu5c) | Noam Razin, Tom Verbin, Nadav Cohen | 144 | | Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge | [here](https://openreview.net/forum?id=h3kuB4z2G9) | Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu | 145 | | Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints | [here](https://openreview.net/forum?id=qQnO1HLQHe) | Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song | 146 | | Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum | [here](https://openreview.net/forum?id=TOxpAwp0VE) | Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu | 147 | | Lovász Principle for Unsupervised Graph Representation Learning | [here](https://openreview.net/forum?id=0vdEHDwamk) | Ziheng Sun, Chris Ding, Jicong Fan | 148 | | Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts | [here](https://openreview.net/forum?id=RRUVZygUtr) | Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu | 149 | | Optimizing over trained GNNs via symmetry breaking | [here](https://openreview.net/forum?id=znW5jNIOED) | Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener | 150 | | Tailoring Self-Attention for Graph via Rooted Subtrees | [here](https://openreview.net/forum?id=t2hEZadBBk) | Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin | 151 | | A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks | [here](https://openreview.net/forum?id=sxao2udWXi) | Vignesh Kothapalli, Tom Tirer, Joan Bruna | 152 | | On Learning Necessary and Sufficient Causal Graphs | [here](https://openreview.net/forum?id=kKFDMtpeDW) | Hengrui Cai, Yixin Wang, Michael Jordan, Rui Song | 153 | | When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability | [here](https://openreview.net/forum?id=kJmYu3Ti2z) | Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup | 154 | | Limits, approximation and size transferability for GNNs on sparse graphs via graphops | [here](https://openreview.net/forum?id=kDQwossJuI) | Thien Le, Stefanie Jegelka | 155 | | SPA: A Graph Spectral Alignment Perspective for Domain Adaptation | [here](https://openreview.net/forum?id=lpx9LZPVtZ) | Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao | 156 | | Intervention Generalization: A View from Factor Graph Models | [here](https://openreview.net/forum?id=9S8oVumknA) | Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva | 157 | | Transformers over Directed Acyclic Graphs | [here](https://openreview.net/forum?id=g49s1N5nmO) | Yuankai Luo, Veronika Thost, Lei Shi | 158 | | Fast Approximation of Similarity Graphs with Kernel Density Estimation | [here](https://openreview.net/forum?id=B4G87Bq5wA) | Peter Macgregor, He Sun | 159 | | Graph-Structured Gaussian Processes for Transferable Graph Learning | [here](https://openreview.net/forum?id=eZbqD9BoXe) | Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He | 160 | | Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data | [here](https://openreview.net/forum?id=FCwF5431IY) | Saptarshi Roy, Raymond K. W. Wong, Yang Ni | 161 | | Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference | [here](https://openreview.net/forum?id=eXubleMT0q) | Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen | 162 | | High dimensional, tabular deep learning with an auxiliary knowledge graph | [here](https://openreview.net/forum?id=GGylthmehy) | Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec | 163 | | 4D Panoptic Scene Graph Generation | [here](https://openreview.net/forum?id=GRHZiTbDDI) | Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu | 164 | | Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling | [here](https://openreview.net/forum?id=K9xHDD6mic) | Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang | 165 | | Demystifying Oversmoothing in Attention-Based Graph Neural Networks | [here](https://openreview.net/forum?id=Kg65qieiuB) | Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie | 166 | | Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective | [here](https://openreview.net/forum?id=MvCq52yt9Y) | Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King | 167 | | Geometric Analysis of Matrix Sensing over Graphs | [here](https://openreview.net/forum?id=NRnm5xO8Hz) | Haixiang Zhang, Ying Chen, Javad Lavaei | 168 | | GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation | [here](https://openreview.net/forum?id=puupdGOWUp) | Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye | 169 | | Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence | [here](https://openreview.net/forum?id=PSngfm5B9q) | Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada | 170 | | SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network | [here](https://openreview.net/forum?id=bprclnHNvm) | Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong | 171 | | Variational Annealing on Graphs for Combinatorial Optimization | [here](https://openreview.net/forum?id=SLx7paoaTU) | Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner | 172 | | Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs | [here](https://openreview.net/forum?id=bETvUctiTR) | CHEN SHENGYUAN, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun | 173 | | Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily | [here](https://openreview.net/forum?id=nBFMCyEi0j) | Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King | 174 | | No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning | [here](https://openreview.net/forum?id=8aDG51pxFc) | Zixing Song, Yifei Zhang, Irwin King | 175 | | Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning | [here](https://openreview.net/forum?id=wYkfog48Bq) | Zixing Song, Yifei Zhang, Irwin King | 176 | | Simple and Asymmetric Graph Contrastive Learning without Augmentations | [here](https://openreview.net/forum?id=UK8mA3DRnb) | Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang | 177 | | Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | [here](https://openreview.net/forum?id=dcw7qRUuD8) | Fiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré | 178 | | An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations | [here](https://openreview.net/forum?id=XyAP8ScqLV) | Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu | 179 | | Provable Training for Graph Contrastive Learning | [here](https://openreview.net/forum?id=Xasl21tSOf) | Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi | 180 | | FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | [here](https://openreview.net/forum?id=bGs1qWQ1Fx) | Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu | 181 | | Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First | [here](https://openreview.net/forum?id=fTyGT5fulj) | Zheng Zhang, Junxiang Wang, Liang Zhao | 182 | | Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules | [here](https://openreview.net/forum?id=fWLf8DV0fI) | ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua | 183 | | Video-Mined Task Graphs for Keystep Recognition in Instructional Videos | [here](https://openreview.net/forum?id=VAC7aB6qSG) | Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman | 184 | | Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts | [here](https://openreview.net/forum?id=nJFJcgjnGo) | Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova | 185 | | Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy | [here](https://openreview.net/forum?id=noMktb4ait) | Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li | 186 | | Directional diffusion models for graph representation learning | [here](https://openreview.net/forum?id=oDtyJt5JLk) | Run Yang, Yuling Yang, Fan Zhou, Qiang Sun | 187 | | FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks | [here](https://openreview.net/forum?id=ody3RBUuJS) | Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong | 188 | | Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision | [here](https://openreview.net/forum?id=UAFa5ZhR85) | Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu | 189 | | Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion | [here](https://openreview.net/forum?id=qUlpDjYnsp) | Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim | 190 | | [Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification | [here](https://openreview.net/forum?id=XxUIomN-ndH) | Ermin Omeragic, Vuk Đuranović | 191 | | Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking | [here](https://openreview.net/forum?id=YdjWXrdOTh) | Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin | 192 | | Sparse Graph Learning from Spatiotemporal Time Series | nan | Andrea Cini, Daniele Zambon, Cesare Alippi | 193 | | What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding | [here](https://openreview.net/forum?id=LmmjiTwYm0) | Nicolas Keriven, Samuel Vaiter | 194 | | Sheaf Hypergraph Networks | [here](https://openreview.net/forum?id=NvcVXzJvhX) | Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió | 195 | | A graphon-signal analysis of graph neural networks | [here](https://openreview.net/forum?id=J0RD92Tmfc) | Ron Levie | 196 | | MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy | [here](https://openreview.net/forum?id=7p5YWe8GqG) | Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris Maddison, Lei Han | 197 | | Curvature Filtrations for Graph Generative Model Evaluation | [here](https://openreview.net/forum?id=Dt71xKyabn) | Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck | 198 | | Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals | [here](https://openreview.net/forum?id=1M8nDkUU9b) | Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu | 199 | | Large sample spectral analysis of graph-based multi-manifold clustering | nan | Nicolas Garcia Trillos, Pengfei He, Chenghui Li | 200 | | Network Regression with Graph Laplacians | nan | Yidong Zhou, Hans-Georg Müller | 201 | -------------------------------------------------------------------------------- /code/README.md: -------------------------------------------------------------------------------- 1 | # NeurIPS 2023 Papers Repository 2 | 3 | Welcome to the NeurIPS 2023 Papers Repository! 4 | 5 | This repository contains tools to collect and filter papers accepted by the Conference on Neural Information Processing Systems (NeurIPS) 2023. Whether you're interested in exploring the entire list of accepted papers or searching for specific topics, this repository has you covered. 6 | 7 | 8 | ## 1. Data Collection 9 | 10 | Run the ```collect.py``` script using the following command: 11 | ``` 12 | python collect.py 13 | ``` 14 | 15 | The resulting paper details will be saved in ```neurips2023.csv```. 16 | 17 | 18 | 19 | 20 | ## 2. Searching for Papers with Keywords 21 | 22 | 23 | 24 | 25 | 26 | To filter and search for papers that match your interests, you can utilize the ```main.ipynb```. Simply replace the provided example keywords with your own terms. 27 | 28 | It's important to note that this filtering mechanism primarily relies on the **titles** of the papers. 29 | 30 | Consequently, while many relevant papers will be captured, there is a possibility that some papers pertinent to your research interest might not be included in the results. 31 | 32 | 33 | -------------------------------------------------------------------------------- /code/collect.py: -------------------------------------------------------------------------------- 1 | import requests 2 | from bs4 import BeautifulSoup 3 | import pandas as pd 4 | import json 5 | from tqdm import tqdm 6 | 7 | conference = 'nips' 8 | 9 | 10 | def collect_data_from_poster(paper_id): 11 | url = f"https://{conference}.cc/virtual/2023/poster/{paper_id}" 12 | response = requests.get(url) 13 | soup = BeautifulSoup(response.content, "html.parser") 14 | 15 | script_tag = soup.find("script", type="application/ld+json") 16 | if script_tag: 17 | script_text = script_tag.string.strip() 18 | script_data = json.loads(script_text) 19 | authors = (', ').join([author['name'] for author in script_data['author']]) 20 | try: 21 | openreview = soup.find('a', {'title': 'OpenReview'})['href'] 22 | except: 23 | openreview = 'null' 24 | return authors, openreview 25 | 26 | 27 | def collect_data_from_openreview(): 28 | url = f"https://{conference}.cc/virtual/2023/papers.html?filter=titles" 29 | response = requests.get(url) 30 | soup = BeautifulSoup(response.content, "html.parser") 31 | paper_info = [] 32 | for link in tqdm(soup.find_all('a', href=True)): 33 | href = link['href'] 34 | if "/virtual/2023/poster/" in href: 35 | paper_title = link.text.strip() 36 | paper_id = int(href.split("/")[-1]) 37 | authors, openreview = collect_data_from_poster(paper_id) 38 | paper_info.append((paper_id, paper_title, authors, openreview)) 39 | df = pd.DataFrame(paper_info, columns=['paper_id', 'title', 'authors', 'openreview_link']) 40 | return df 41 | 42 | 43 | def main(): 44 | 45 | df = collect_data_from_openreview() 46 | df.to_csv('neurips2023.csv', index=False, columns=['title', 'openreview_link', 'authors']) 47 | 48 | 49 | if __name__ == "__main__": 50 | main() 51 | -------------------------------------------------------------------------------- /code/main.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": null, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import re\n", 10 | "import pandas as pd\n", 11 | "\n", 12 | "df = pd.read_csv('neurips2023.csv')\n", 13 | "\n", 14 | "# custom keywords\n", 15 | "keywords = ['graph', 'graphs', 'message passing', 'gnn', 'gnns', 'WL', 'hypergraph', 'subgraph']\n", 16 | "\n", 17 | "keywords = [r'\\b' + k + r'\\b' for k in keywords]\n", 18 | "\n", 19 | "classes_regex = '(' + '|'.join([c.lower() for c in keywords]) + ')'\n", 20 | "matched = df['title'].apply(lambda x: len(re.findall(classes_regex, x.strip().lower())))\n", 21 | "df = df[matched > 0]\n", 22 | "\n", 23 | "df.to_csv(f'neurips2023_graphs.csv', index=False)" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": null, 29 | "metadata": {}, 30 | "outputs": [], 31 | "source": [] 32 | } 33 | ], 34 | "metadata": { 35 | "kernelspec": { 36 | "display_name": "TAPE", 37 | "language": "python", 38 | "name": "python3" 39 | }, 40 | "language_info": { 41 | "codemirror_mode": { 42 | "name": "ipython", 43 | "version": 3 44 | }, 45 | "file_extension": ".py", 46 | "mimetype": "text/x-python", 47 | "name": "python", 48 | "nbconvert_exporter": "python", 49 | "pygments_lexer": "ipython3", 50 | "version": "3.8.16" 51 | }, 52 | "orig_nbformat": 4 53 | }, 54 | "nbformat": 4, 55 | "nbformat_minor": 2 56 | } 57 | -------------------------------------------------------------------------------- /code/neurips2023_graphs.csv: -------------------------------------------------------------------------------- 1 | title,openreview_link,authors 2 | Generative Pre-Training of Spatio-Temporal Graph Neural Networks,https://openreview.net/forum?id=nMH5cUaSj8,"Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang" 3 | Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing,https://openreview.net/forum?id=0eXniewIvr,"Jung Yeon Park, Lawson Wong, Robin Walters" 4 | Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data,https://openreview.net/forum?id=XkcufOcgUc,"Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan" 5 | Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment,https://openreview.net/forum?id=17Zkztjlgt,"Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann" 6 | "Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT",https://openreview.net/forum?id=zr1e15kczE,"Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He" 7 | Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs,https://openreview.net/forum?id=Kd5W4JRsfV,"Muhammed Fatih Balin, Ümit Çatalyürek" 8 | Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points,https://openreview.net/forum?id=9yhYcjsdab,"Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló" 9 | GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels,https://openreview.net/forum?id=ihlT8yvQ2I,"Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan" 10 | Can Language Models Solve Graph Problems in Natural Language?,https://openreview.net/forum?id=UDqHhbqYJV,"Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov" 11 | "Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem",https://openreview.net/forum?id=TQlpqmCeMe,"Tal Amir, Steven Gortler, Ilai Avni, Ravina Ravina, Nadav Dym" 12 | "AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity",https://openreview.net/forum?id=7ntI4kcoqG,"Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman" 13 | HyTrel: Hypergraph-enhanced Tabular Data Representation Learning,https://openreview.net/forum?id=7vqlzODS28,"Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis" 14 | Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network,https://openreview.net/forum?id=28RTu9MOT6,"Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu" 15 | Does Graph Distillation See Like Vision Dataset Counterpart?,https://openreview.net/forum?id=VqIWgUVsXc,"Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li" 16 | How to Turn Your Knowledge Graph Embeddings into Generative Models,https://openreview.net/forum?id=RSGNGiB1q4,"Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari" 17 | AutoGO: Automated Computation Graph Optimization for Neural Network Evolution,https://openreview.net/forum?id=lDI3ZuyzM9,"Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, CHUNHUA ZHOU, Fengyu Sun, Di Niu" 18 | LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching,https://openreview.net/forum?id=xE7oH5iVGK,"Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan Ngoc Pham, Tri Cao, Binh Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert" 19 | Optimality of Message-Passing Architectures for Sparse Graphs,https://openreview.net/forum?id=d1knqWjmNt,"Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath" 20 | LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings,https://openreview.net/forum?id=7zkFc9TGKz,"Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi" 21 | A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking,https://openreview.net/forum?id=m2mbfoSuJ1,"Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang" 22 | Universal Prompt Tuning for Graph Neural Networks,https://openreview.net/forum?id=0LmWBhIYLi,"Taoran Fang, Yunchao Zhang, YANG YANG, Chunping Wang, Lei Chen" 23 | PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis,https://openreview.net/forum?id=3jAsfo8x8k,"Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari" 24 | Fair Graph Distillation,https://openreview.net/forum?id=xW0ayZxPWs,"Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu" 25 | D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion,https://openreview.net/forum?id=GJtP1ZEzua,"Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying" 26 | SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations,https://openreview.net/forum?id=kBBsj9KRgh,"Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu" 27 | Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications,https://openreview.net/forum?id=uqkUguNu40,"Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu" 28 | TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery,https://openreview.net/forum?id=6OOgw4boZI,"Jialin Chen, Rex Ying" 29 | Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization,https://openreview.net/forum?id=n8JWIzYPRz,"Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li" 30 | Expressivity-Preserving GNN Simulation,https://openreview.net/forum?id=ytTfonl9Wd,"Fabian Jogl, Maximilian Thiessen, Thomas Gärtner" 31 | Practical Contextual Bandits with Feedback Graphs,https://openreview.net/forum?id=l6pYRbuHpO,"Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro" 32 | Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets,https://openreview.net/forum?id=sTjW3JHs2V,"Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan" 33 | MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data,https://openreview.net/forum?id=4UCktT9XZx,"Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao" 34 | Characterization and Learning of Causal Graphs with Small Conditioning Sets,https://openreview.net/forum?id=cANkPsVtsw,Murat Kocaoglu 35 | GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search,https://openreview.net/forum?id=cQdc9Dyk4i,"Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan" 36 | A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs,https://openreview.net/forum?id=dAJrxQz1lk,"Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang" 37 | Uncertainty Quantification over Graph with Conformalized Graph Neural Networks,https://openreview.net/forum?id=ygjQCOyNfh,"Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec" 38 | [Re] On Explainability of Graph Neural Networks via Subgraph Explorations,https://openreview.net/forum?id=zKBJw4Ht8s,"Yannik Mahlau, Lukas Berg, Leonie Kayser" 39 | NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics,https://openreview.net/forum?id=MEa0cQeURw,"Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos" 40 | WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding,https://openreview.net/forum?id=ZrG8kTbt70,"Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang" 41 | Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion,https://openreview.net/forum?id=j7x9wW3tCf,"Kunxun Qi, Jianfeng Du, Hai Wan" 42 | Deep Insights into Noisy Pseudo Labeling on Graph Data,https://openreview.net/forum?id=XhNlBvb4XV,"Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung" 43 | Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data,https://openreview.net/forum?id=gpyeRyc858,"Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song" 44 | On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data,https://openreview.net/forum?id=vEzcRdiTkP,Federico Errica 45 | Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes,https://openreview.net/forum?id=H57w5EOj6O,"Cai Zhou, Xiyuan Wang, Muhan Zhang" 46 | Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning,https://openreview.net/forum?id=MYfqIVcQrp,"Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang" 47 | Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power,https://openreview.net/forum?id=94rKFkcm56,"Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang" 48 | Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs,https://openreview.net/forum?id=xSEhb2j3TK,"Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan" 49 | Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks,https://openreview.net/forum?id=5Fr8Nwi5KF,"Xin Yan, Hui Fang, Qiang He" 50 | OpenGSL: A Comprehensive Benchmark for Graph Structure Learning,https://openreview.net/forum?id=yXLyhKvK4D,"Zhou Zhiyao, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang" 51 | Accelerating Molecular Graph Neural Networks via Knowledge Distillation,https://openreview.net/forum?id=A18PgVSUgf,"Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger" 52 | Approximately Equivariant Graph Networks,https://openreview.net/forum?id=5aeyKAZr0L,"Ningyuan Huang, Ron Levie, Soledad Villar" 53 | "(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More",https://openreview.net/forum?id=mLe63bAYc7,"Jan Schuchardt, Yan Scholten, Stephan Günnemann" 54 | Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond,https://openreview.net/forum?id=m7PIJWOdlY,"Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova" 55 | "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions",https://openreview.net/forum?id=GPtroppvUM,"Lukas Gosch, Simon Markus Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann" 56 | Graph Clustering with Graph Neural Networks,,"Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller" 57 | A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning,https://openreview.net/forum?id=ZITOHWeAy7,"Yiyou Sun, Zhenmei Shi, Yixuan Li" 58 | LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference,https://openreview.net/forum?id=5loV5tVzsY,"Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding" 59 | Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction,https://openreview.net/forum?id=RHDXkRPNQa,"Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen" 60 | Learning Efficient Surrogate Dynamic Models with Graph Spline Networks,https://openreview.net/forum?id=MGPST5I9DO,"Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park" 61 | Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman,https://openreview.net/forum?id=UlJcZoawgU,"Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen" 62 | MAG-GNN: Reinforcement Learning Boosted Graph Neural Network,https://openreview.net/forum?id=K4FK7I8Jnl,"Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang" 63 | GALOPA: Graph Transport Learning with Optimal Plan Alignment,https://openreview.net/forum?id=rzlqOVExUA,"Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li" 64 | UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction,https://openreview.net/forum?id=u2cXRGm95Y,"Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong" 65 | Learning Nonparametric Latent Causal Graphs with Unknown Interventions,https://openreview.net/forum?id=S8DFqgmEbe,"Yibo Jiang, Bryon Aragam" 66 | Learning Large Graph Property Prediction via Graph Segment Training,https://openreview.net/forum?id=3YDukx2cpr,"Kaidi Cao, Mangpo Phothilimtha, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi" 67 | TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs,https://openreview.net/forum?id=plAix1NxhU,"Mangpo Phothilimtha, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi" 68 | Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?,https://openreview.net/forum?id=oef30oScVB,"Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang" 69 | Fine-grained Expressivity of Graph Neural Networks,https://openreview.net/forum?id=jt10uWlEbc,"Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris" 70 | On the Minimax Regret for Online Learning with Feedback Graphs,https://openreview.net/forum?id=XfYpIaKDb6,"Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi" 71 | Temporal Graph Benchmark for Machine Learning on Temporal Graphs,https://openreview.net/forum?id=qG7IkQ7IBO,"Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany" 72 | Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis,https://openreview.net/forum?id=UQ8pDKcXTq,"Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang" 73 | Evaluating Self-Supervised Learning for Molecular Graph Embeddings,https://openreview.net/forum?id=pyhv4qYCEJ,"Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu" 74 | GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection,https://openreview.net/forum?id=5HisVXnx0n,"Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos" 75 | GSLB: The Graph Structure Learning Benchmark,https://openreview.net/forum?id=xT3i5GS3zU,"Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu" 76 | GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection,https://openreview.net/forum?id=U5uRXlLwnM,"Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li" 77 | DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization,https://openreview.net/forum?id=JV8Ff0lgVV,"Zhiqing Sun, Yiming Yang" 78 | Generalised f-Mean Aggregation for Graph Neural Networks,https://openreview.net/forum?id=JMrIeKjTAe,"Ryan Kortvelesy, Steven D Morad, Amanda Prorok" 79 | Towards Label Position Bias in Graph Neural Networks,https://openreview.net/forum?id=IKjOMA8olL,"Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang" 80 | Faster approximate subgraph counts with privacy,https://openreview.net/forum?id=Fqg9vGWy4k,"Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti" 81 | Does Invariant Graph Learning via Environment Augmentation Learn Invariance?,https://openreview.net/forum?id=EqpR9Vtt13,"Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng" 82 | Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems,https://openreview.net/forum?id=CnvZ7FIyAD,"Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen" 83 | Outlier-Robust Gromov-Wasserstein for Graph Data,https://openreview.net/forum?id=BKAFLUcpBS,"Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So" 84 | Recurrent Temporal Revision Graph Networks,https://openreview.net/forum?id=B3UDx1rNOy,"Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou" 85 | Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs,https://openreview.net/forum?id=AtHJ7TLheF,"Yeyuan Chen, Dingmin Wang" 86 | A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs,https://openreview.net/forum?id=7hLlZNrkt5,"Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló" 87 | Fragment-based Pretraining and Finetuning on Molecular Graphs,https://openreview.net/forum?id=77Nq1KjmLl,"Kha-Dinh Luong, Ambuj K Singh" 88 | Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics,https://openreview.net/forum?id=35nFSbEBks,"Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang" 89 | "Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions",https://openreview.net/forum?id=1zKRwh5Rl2,"Duligur Ibeling, Thomas Icard" 90 | Graph Contrastive Learning with Stable and Scalable Spectral Encoding,https://openreview.net/forum?id=0kz5RmHxmE,"Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi" 91 | Graph Convolutional Kernel Machine versus Graph Convolutional Networks,https://openreview.net/forum?id=SFfOt1oDsX,"Zhihao Wu, Zhao Zhang, Jicong Fan" 92 | Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection,https://openreview.net/forum?id=dd3KNayGFz,"Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic" 93 | Latent Graph Inference with Limited Supervision,https://openreview.net/forum?id=tGuMwFnRZX,"Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu" 94 | A Fractional Graph Laplacian Approach to Oversmoothing,https://openreview.net/forum?id=kS7ED7eE74,"Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok" 95 | Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach,https://openreview.net/forum?id=SHVwG9yOEk,"Nurendra Choudhary, Nikhil Rao, Chandan Reddy" 96 | Transfer learning for atomistic simulations using GNNs and kernel mean embeddings,https://openreview.net/forum?id=Enzew8XujO,"John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil" 97 | Data-Centric Learning from Unlabeled Graphs with Diffusion Model,https://openreview.net/forum?id=DmakwvCJ7l,"Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang" 98 | Zero-One Laws of Graph Neural Networks,https://openreview.net/forum?id=DGmxTUCHYs,"Sam Adam-Day, Iliant, Ismail Ceylan" 99 | CAT-Walk: Inductive Hypergraph Learning via Set Walks,https://openreview.net/forum?id=QG4nJBNEar,"Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer" 100 | Bayesian Optimisation of Functions on Graphs,https://openreview.net/forum?id=UuNd9A6noD,"Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong" 101 | Affinity-Aware Graph Networks,https://openreview.net/forum?id=qgiG7WZohZ,"Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi" 102 | Reversible and irreversible bracket-based dynamics for deep graph neural networks,https://openreview.net/forum?id=4SoTUaTK8N,"Anthony Gruber, Kookjin Lee, Nathaniel Trask" 103 | V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs,https://openreview.net/forum?id=CtXXOaxDw7,"Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang" 104 | The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models,https://openreview.net/forum?id=uN71BdBEG8,"Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz" 105 | Towards Better Dynamic Graph Learning: New Architecture and Unified Library,https://openreview.net/forum?id=xHNzWHbklj,"Le Yu, Leilei Sun, Bowen Du, Weifeng Lv" 106 | Quasi-Monte Carlo Graph Random Features,https://openreview.net/forum?id=zCFfv49MjE,"Isaac Reid, Adrian Weller, Krzysztof M Choromanski" 107 | GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning,https://openreview.net/forum?id=Tt6DrRCgJV,"Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu" 108 | Interpretable Graph Networks Formulate Universal Algebra Conjectures,https://openreview.net/forum?id=Psnph85KYc,"Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero" 109 | Neural Graph Generation from Graph Statistics,https://openreview.net/forum?id=EI6BHFKA5p,"Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte" 110 | Towards Self-Interpretable Graph-Level Anomaly Detection,https://openreview.net/forum?id=SAzaC8f3cM,"Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan" 111 | CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs,https://openreview.net/forum?id=1SF2tiopYJ,"Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam" 112 | Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis,https://openreview.net/forum?id=eD534mPhAg,"Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He" 113 | Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks,https://openreview.net/forum?id=enfx8HM4Rp,"Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang" 114 | TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph,https://openreview.net/forum?id=oaGdsgB18L,"Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun" 115 | PRODIGY: Enabling In-context Learning Over Graphs,https://openreview.net/forum?id=pLwYhNNnoR,"Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec" 116 | Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective,https://openreview.net/forum?id=sJDkwMVqb9,"Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin" 117 | Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion,https://openreview.net/forum?id=hSTaTBIUCj,"Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua" 118 | GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph,https://openreview.net/forum?id=YmEDnMynuO,"Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang" 119 | Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization,https://openreview.net/forum?id=z3HACY5CMa,"Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji" 120 | Taming Local Effects in Graph-based Spatiotemporal Forecasting,https://openreview.net/forum?id=x2PH6q32LR,"Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi" 121 | From Trainable Negative Depth to Edge Heterophily in Graphs,https://openreview.net/forum?id=p8lowHbuv8,"Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong" 122 | Graph of Circuits with GNN for Exploring the Optimal Design Space,https://openreview.net/forum?id=VNjJAWjuEU,"Aditya Shahane, Saripilli Swapna Manjiri, Ankesh Jain, Sandeep Kumar" 123 | Self-supervised Graph Neural Networks via Low-Rank Decomposition,https://openreview.net/forum?id=XvGQ6F3sG8,"Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Xiaochun Cao, Chuan Wang" 124 | Certifiably Robust Graph Contrastive Learning,https://openreview.net/forum?id=o50nH0sV9x,"Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang" 125 | Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection,https://openreview.net/forum?id=nq4OhifyEe,"Hezhe Qiao, Guansong Pang" 126 | Efficient Learning of Linear Graph Neural Networks via Node Subsampling,https://openreview.net/forum?id=rQI3FOzo1f,"Seiyun Shin, Ilan Shomorony, Han Zhao" 127 | Graph Denoising Diffusion for Inverse Protein Folding,https://openreview.net/forum?id=u4YXKKG5dX,"Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang" 128 | PlanE: Representation Learning over Planar Graphs,https://openreview.net/forum?id=u2RJ0I3o3j,"Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ceylan" 129 | A Metadata-Driven Approach to Understand Graph Neural Networks,https://openreview.net/forum?id=FgakGFpll1,"Ting Wei Li, Qiaozhu Mei, Jiaqi Ma" 130 | Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks,https://openreview.net/forum?id=m2WR1yJ8N9,"Jiarong Xu, Renhong Huang, XIN JIANG, Yuxuan Cao, Carl Yang, Chunping Wang, YANG YANG" 131 | Language Semantic Graph Guided Data-Efficient Learning,https://openreview.net/forum?id=tUyW68cRqr,"Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang" 132 | The expressive power of pooling in Graph Neural Networks,https://openreview.net/forum?id=zqyVjCjhYD,"Filippo Maria Bianchi, Veronica Lachi" 133 | Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach,https://openreview.net/forum?id=xtADRDRsM2,"Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay" 134 | Learning Invariant Representations of Graph Neural Networks via Cluster Generalization,https://openreview.net/forum?id=zrCmeqV3Sz,"Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi" 135 | Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift,https://openreview.net/forum?id=hIGZujtOQv,"Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He" 136 | LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees,https://openreview.net/forum?id=VPTZVVP4tm,"Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So" 137 | Simplifying and Empowering Transformers for Large-Graph Representations,https://openreview.net/forum?id=R4xpvDTWkV,"Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan" 138 | Interpretable Prototype-based Graph Information Bottleneck,https://openreview.net/forum?id=icWwBKyVMs,"Sangwoo Seo, Sungwon Kim, Chanyoung Park" 139 | A new perspective on building efficient and expressive 3D equivariant graph neural networks,https://openreview.net/forum?id=hWPNYWkYPN,"weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma" 140 | On the Ability of Graph Neural Networks to Model Interactions Between Vertices,https://openreview.net/forum?id=ayZpFoAu5c,"Noam Razin, Tom Verbin, Nadav Cohen" 141 | Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge,https://openreview.net/forum?id=h3kuB4z2G9,"Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu" 142 | Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints,https://openreview.net/forum?id=qQnO1HLQHe,"Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song" 143 | Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum,https://openreview.net/forum?id=TOxpAwp0VE,"Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu" 144 | Lovász Principle for Unsupervised Graph Representation Learning,https://openreview.net/forum?id=0vdEHDwamk,"Ziheng Sun, Chris Ding, Jicong Fan" 145 | Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts,https://openreview.net/forum?id=RRUVZygUtr,"Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu" 146 | Optimizing over trained GNNs via symmetry breaking,https://openreview.net/forum?id=znW5jNIOED,"Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener" 147 | Tailoring Self-Attention for Graph via Rooted Subtrees,https://openreview.net/forum?id=t2hEZadBBk,"Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin" 148 | A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks,https://openreview.net/forum?id=sxao2udWXi,"Vignesh Kothapalli, Tom Tirer, Joan Bruna" 149 | On Learning Necessary and Sufficient Causal Graphs,https://openreview.net/forum?id=kKFDMtpeDW,"Hengrui Cai, Yixin Wang, Michael Jordan, Rui Song" 150 | When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability,https://openreview.net/forum?id=kJmYu3Ti2z,"Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup" 151 | "Limits, approximation and size transferability for GNNs on sparse graphs via graphops",https://openreview.net/forum?id=kDQwossJuI,"Thien Le, Stefanie Jegelka" 152 | SPA: A Graph Spectral Alignment Perspective for Domain Adaptation,https://openreview.net/forum?id=lpx9LZPVtZ,"Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao" 153 | Intervention Generalization: A View from Factor Graph Models,https://openreview.net/forum?id=9S8oVumknA,"Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva" 154 | Transformers over Directed Acyclic Graphs,https://openreview.net/forum?id=g49s1N5nmO,"Yuankai Luo, Veronika Thost, Lei Shi" 155 | Fast Approximation of Similarity Graphs with Kernel Density Estimation,https://openreview.net/forum?id=B4G87Bq5wA,"Peter Macgregor, He Sun" 156 | Graph-Structured Gaussian Processes for Transferable Graph Learning,https://openreview.net/forum?id=eZbqD9BoXe,"Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He" 157 | Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data,https://openreview.net/forum?id=FCwF5431IY,"Saptarshi Roy, Raymond K. W. Wong, Yang Ni" 158 | Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference,https://openreview.net/forum?id=eXubleMT0q,"Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen" 159 | "High dimensional, tabular deep learning with an auxiliary knowledge graph",https://openreview.net/forum?id=GGylthmehy,"Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec" 160 | 4D Panoptic Scene Graph Generation,https://openreview.net/forum?id=GRHZiTbDDI,"Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu" 161 | Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling,https://openreview.net/forum?id=K9xHDD6mic,"Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang ""Atlas"" Wang" 162 | Demystifying Oversmoothing in Attention-Based Graph Neural Networks,https://openreview.net/forum?id=Kg65qieiuB,"Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie" 163 | Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective,https://openreview.net/forum?id=MvCq52yt9Y,"Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King" 164 | Geometric Analysis of Matrix Sensing over Graphs,https://openreview.net/forum?id=NRnm5xO8Hz,"Haixiang Zhang, Ying Chen, Javad Lavaei" 165 | GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation,https://openreview.net/forum?id=puupdGOWUp,"Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye" 166 | Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence,https://openreview.net/forum?id=PSngfm5B9q,"Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada" 167 | SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network,https://openreview.net/forum?id=bprclnHNvm,"Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong" 168 | Variational Annealing on Graphs for Combinatorial Optimization,https://openreview.net/forum?id=SLx7paoaTU,"Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner" 169 | Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs,https://openreview.net/forum?id=bETvUctiTR,"CHEN SHENGYUAN, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun" 170 | Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily,https://openreview.net/forum?id=nBFMCyEi0j,"Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King" 171 | "No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning",https://openreview.net/forum?id=8aDG51pxFc,"Zixing Song, Yifei Zhang, Irwin King" 172 | Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning,https://openreview.net/forum?id=wYkfog48Bq,"Zixing Song, Yifei Zhang, Irwin King" 173 | Simple and Asymmetric Graph Contrastive Learning without Augmentations,https://openreview.net/forum?id=UK8mA3DRnb,"Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang" 174 | Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems,https://openreview.net/forum?id=dcw7qRUuD8,"Fiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré" 175 | An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations,https://openreview.net/forum?id=XyAP8ScqLV,"Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu" 176 | Provable Training for Graph Contrastive Learning,https://openreview.net/forum?id=Xasl21tSOf,"Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi" 177 | FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective,https://openreview.net/forum?id=bGs1qWQ1Fx,"Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu" 178 | Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First,https://openreview.net/forum?id=fTyGT5fulj,"Zheng Zhang, Junxiang Wang, Liang Zhao" 179 | Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules,https://openreview.net/forum?id=fWLf8DV0fI,"ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua" 180 | Video-Mined Task Graphs for Keystep Recognition in Instructional Videos,https://openreview.net/forum?id=VAC7aB6qSG,"Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman" 181 | Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts,https://openreview.net/forum?id=nJFJcgjnGo,"Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova" 182 | Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy,https://openreview.net/forum?id=noMktb4ait,"Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li" 183 | Directional diffusion models for graph representation learning,https://openreview.net/forum?id=oDtyJt5JLk,"Run Yang, Yuling Yang, Fan Zhou, Qiang Sun" 184 | FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks,https://openreview.net/forum?id=ody3RBUuJS,"Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong" 185 | Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision,https://openreview.net/forum?id=UAFa5ZhR85,"Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu" 186 | Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion,https://openreview.net/forum?id=qUlpDjYnsp,"Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim" 187 | [Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification,https://openreview.net/forum?id=XxUIomN-ndH,"Ermin Omeragic, Vuk Đuranović" 188 | Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking,https://openreview.net/forum?id=YdjWXrdOTh,"Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin" 189 | Sparse Graph Learning from Spatiotemporal Time Series,,"Andrea Cini, Daniele Zambon, Cesare Alippi" 190 | What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding,https://openreview.net/forum?id=LmmjiTwYm0,"Nicolas Keriven, Samuel Vaiter" 191 | Sheaf Hypergraph Networks,https://openreview.net/forum?id=NvcVXzJvhX,"Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió" 192 | A graphon-signal analysis of graph neural networks,https://openreview.net/forum?id=J0RD92Tmfc,Ron Levie 193 | MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy,https://openreview.net/forum?id=7p5YWe8GqG,"Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris Maddison, Lei Han" 194 | Curvature Filtrations for Graph Generative Model Evaluation,https://openreview.net/forum?id=Dt71xKyabn,"Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck" 195 | Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals,https://openreview.net/forum?id=1M8nDkUU9b,"Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu" 196 | Large sample spectral analysis of graph-based multi-manifold clustering,,"Nicolas Garcia Trillos, Pengfei He, Chenghui Li" 197 | Network Regression with Graph Laplacians,,"Yidong Zhou, Hans-Georg Müller" 198 | --------------------------------------------------------------------------------