├── .gitattributes ├── LICENSE └── README.md /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Azmine Toushik Wasi 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # **Awesome NeurIPS 2024 Graph Paper Collection** 2 | 3 | This repo contains a comprehensive compilation of **graph and/or GNN** papers that were accepted at the [Thirty-Eighth Annual Conference on Neural Information Processing Systems 2024](https://neurips.cc/). Graph or Geometric machine learning possesses an indispensable role within the domain of machine learning research, providing invaluable insights, methodologies, and solutions to a diverse array of challenges and problems. 4 | 5 | **Short Overview**: We've got around 450-500 papers focusing on Graphs and GNNs in NeurIPS'24, almost 1.75-2x of ICML'24. Seems like diffusion, transformers, agents and knowledge graphs had a good focus in NeurIPS'24. 6 | 7 | 8 | **Have a look and throw me a review (and, a star ⭐, maybe!)** Thanks! 9 | 10 | 11 | --- 12 | 13 | 14 | 15 | ## **All Topics:** 16 | 17 |
18 | View Topic list! 19 | 20 | - [GNN Theories](#theories) 21 | - [Weisfeiler Leman](#Weisfeiler-Leman ) 22 | - [Heterophily](#Heterophily) 23 | - [Hypergraph](#Hypergraph) 24 | - [Expressivity](#Expressivity) 25 | - [Generalization](#Generalization) 26 | - [Equivariant Graph Neural Networks](#Equivariant) 27 | - [Out-of-Distribution](#OOD) 28 | - [Diffusion](#Diffusion) 29 | - [Graph Matching](#GraphMatching) 30 | - [Flow Matching](#FlowMatching) 31 | - [Contrastive Learning](#ContrastiveLearning) 32 | - [Clustering](#Clustering) 33 | - [Foundational Models](#FM) 34 | - [Message Passing Neural Networks](#MPNN) 35 | - [Transformers](#GraphTransformers) 36 | - [Optimal Transport](#OptimalTransport) 37 | - [Graph Generation](#ggen) 38 | - [Unsupervised Learning](#UL) 39 | - [Meta-learning](#GraphMeta-learning) 40 | - [Disentanglement](#Disentanglement) 41 | - [Others](#GNNT-others) 42 | - [GNNs for PDE/ODE/Physics](#PDE) 43 | - [Graph and Large Language Models/Agents](#LLM) 44 | - [Knowledge Graph and Knowledge Graph Embeddings](#KG) 45 | - [GNN Applications](#apps) 46 | - [Spatial and/or Temporal GNNs](#SpatialTemporalGNNs) 47 | - [Explainable AI](#xai) 48 | - [Reinforcement Learning](#rl) 49 | - [Graphs, Molecules and Biology](#molecular) 50 | - [GFlowNets](#GFlowNets) 51 | - [Causal Discovery and Graphs](#Causal) 52 | - [Federated Learning, Privacy, Decentralization](#FL) 53 | - [Scene Graphs](#SceneGraphs) 54 | - [Graphs, GNNs and Efficiency](#Efficiency) 55 | - [Others](#Others) 56 | - [More Possible Works](#more) 57 |
58 | 59 | 60 | 61 | 62 | ## GNN Theories 63 | 64 | 65 | 66 | #### Weisfeiler Leman 67 | - [Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning](https://openreview.net/pdf?id=9O2sVnEHor) 68 | 69 | #### Heterophily 70 | - [Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles](https://openreview.net/pdf?id=uatPOPWzzU) 71 | - [On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks](https://openreview.net/pdf?id=3LZHatxUa9) 72 | 73 | #### Hypergraph 74 | - [Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover](https://openreview.net/pdf?id=4A5IQEjG8c) 75 | - [Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph](https://openreview.net/pdf?id=A3jHvChR8K) 76 | - [Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting](https://openreview.net/pdf?id=RNbrIQ0se8) 77 | - [Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval](https://openreview.net/pdf?id=xOCAURlVM9) 78 | 79 | #### Expressivity 80 | - [On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks](https://openreview.net/pdf?id=8APPypS0yN) 81 | - [On the Expressive Power of Tree-Structured Probabilistic Circuits](https://openreview.net/pdf?id=suYAAOI5bd) 82 | 83 | 84 | #### Generalization 85 | - [Bridging OOD Detection and Generalization: A Graph-Theoretic View](https://openreview.net/pdf?id=qzwAG8qxI1) 86 | - [Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond](https://openreview.net/pdf?id=ZNcJtNN3e8) 87 | - [Improving Generalization of Dynamic Graph Learning via Environment Prompt](https://openreview.net/pdf?id=RJG8ar4wHA) 88 | - [Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance](https://openreview.net/pdf?id=MQIET1VfoV) 89 | - [Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms](https://openreview.net/pdf?id=6U5fCHIWOC) 90 | 91 | 92 | 93 | 94 | #### Equivariant Graph Neural Networks 95 | - [A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening](https://openreview.net/pdf?id=9cFyqhjEHC) 96 | - [Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation](https://openreview.net/pdf?id=Aj0Zf28l6o) 97 | - [Identifiability Guarantees for Causal Disentanglement from Purely Observational Data](https://openreview.net/pdf?id=M20p6tq9Hq) 98 | - [Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?](https://openreview.net/pdf?id=M0ncNVuGYN) 99 | - [Equivariant spatio-hemispherical networks for diffusion MRI deconvolution](https://openreview.net/pdf?id=MxWpCherzD) 100 | - [ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation](https://openreview.net/pdf?id=avsZ9OlR60) 101 | - [Approximately Equivariant Neural Processes](https://openreview.net/pdf?id=dqT9MC5NQl) 102 | - [Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters](https://openreview.net/pdf?id=y8P633E5HQ) 103 | - [Equivariant Neural Diffusion for Molecule Generation](https://openreview.net/pdf?id=40pE5pFhWl) 104 | 105 | 106 | 107 | 108 | #### Out-of-Distribution 109 | - [Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity](https://openreview.net/pdf?id=fkbMlfDBxm) 110 | - [Revisiting Score Propagation in Graph Out-of-Distribution Detection](https://openreview.net/pdf?id=jb5qN3212b) 111 | - [PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling](https://openreview.net/pdf?id=z86knmjoUq) 112 | 113 | 114 | 115 | #### Graph Matching 116 | - [Efficient Graph Matching for Correlated Stochastic Block Models](https://openreview.net/pdf?id=nBhfIcDnRP) 117 | - [Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval](https://openreview.net/pdf?id=udTwwF7tks) 118 | 119 | 120 | 121 | 122 | #### Flow Matching 123 | - [FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions](https://openreview.net/pdf?id=0bFXbEMz8e) 124 | - [Fisher Flow Matching for Generative Modeling over Discrete Data](https://openreview.net/pdf?id=6jOScqwdHU) 125 | - [Variational Flow Matching for Graph Generation](https://openreview.net/pdf?id=UahrHR5HQh) 126 | - [Generalized Protein Pocket Generation with Prior-Informed Flow Matching](https://openreview.net/pdf?id=WyVTj77KEV) 127 | 128 | 129 | 130 | 131 | #### Contrastive Learning 132 | - [Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors](https://openreview.net/pdf?id=H0qu4moFly) 133 | - [A probability contrastive learning framework for 3D molecular representation learning](https://openreview.net/pdf?id=HYiR6tGQPv) 134 | - [How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval](https://openreview.net/pdf?id=LQBlSGeOGm) 135 | - [Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference](https://openreview.net/pdf?id=PoCs4jq7cV) 136 | - [Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering](https://openreview.net/pdf?id=R8SolCx62K) 137 | - [FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features](https://openreview.net/pdf?id=VUuOsBrqaw) 138 | - [Unified Graph Augmentations for Generalized Contrastive Learning on Graphs](https://openreview.net/pdf?id=jgkKroLxeC) 139 | - [Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers](https://openreview.net/pdf?id=u6FuiKzT1K) 140 | 141 | 142 | ### Diffusion 143 | - [Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation](https://openreview.net/pdf?id=x4Kk4FxLs3) 144 | - [Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis](https://openreview.net/pdf?id=sntv8Ac3U2) 145 | - [MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs](https://openreview.net/pdf?id=re2jPCnzkA) 146 | - [Unifying Generation and Prediction on Graphs with Latent Graph Diffusion](https://openreview.net/pdf?id=lvibangnAs) 147 | - [SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning](https://openreview.net/pdf?id=iSMTo0toDO) 148 | - [DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction](https://openreview.net/pdf?id=h3Kv6sdTWO) 149 | - [Diffusion Twigs with Loop Guidance for Conditional Graph Generation](https://openreview.net/pdf?id=fvOCJAAYLx) 150 | - [Graph Diffusion Transformers for Multi-Conditional Molecular Generation](https://openreview.net/pdf?id=cfrDLD1wfO) 151 | - [NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing](https://openreview.net/pdf?id=bCR2NLm1QW) 152 | - [Differentially Private Graph Diffusion with Applications in Personalized PageRanks](https://openreview.net/pdf?id=aon7bwYBiq) 153 | - [Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching](https://openreview.net/pdf?id=ZupoMzMNrO) 154 | - [Discrete-state Continuous-time Diffusion for Graph Generation](https://openreview.net/pdf?id=YkSKZEhIYt) 155 | - [Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design](https://openreview.net/pdf?id=Y79L45D5ts) 156 | - [Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion](https://openreview.net/pdf?id=RxkcroC8qP) 157 | - [Geometric Trajectory Diffusion Models](https://openreview.net/pdf?id=OYmms5Mv9H) 158 | - [DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut](https://openreview.net/pdf?id=N0xNf9Qqmc) 159 | - [DiffuBox: Refining 3D Object Detection with Point Diffusion](https://openreview.net/pdf?id=J2wOOtkBx0) 160 | - [Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization](https://openreview.net/pdf?id=EWcvxXtzNu) 161 | - [Graph Diffusion Policy Optimization](https://openreview.net/pdf?id=8ohsbxw7q8) 162 | - [Faster Local Solvers for Graph Diffusion Equations](https://openreview.net/pdf?id=3Z0LTDjIM0) 163 | 164 | #### Clustering 165 | - [From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement](https://openreview.net/pdf?id=p4a1nSvwD7) 166 | - [HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning](https://openreview.net/pdf?id=fx6aSBMu6z) 167 | - [Graph Neural Networks Need Cluster-Normalize-Activate Modules](https://openreview.net/pdf?id=faj2EBhdHC) 168 | - [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw) 169 | - [Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective](https://openreview.net/pdf?id=I6tRENM5Ya) 170 | - [Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding](https://openreview.net/pdf?id=BpJ6OTfWw3) 171 | - [Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention](https://openreview.net/pdf?id=3j2nasmKkP) 172 | - [TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering](https://openreview.net/pdf?id=26BdXIY3ik) 173 | 174 | 175 | 176 | #### Message Passing Neural Networks 177 | - [How Does Message Passing Improve Collaborative Filtering?](https://openreview.net/pdf?id=c78U5zi4eA) 178 | - [Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks](https://openreview.net/pdf?id=aRokfUfIQs) 179 | - [Pure Message Passing Can Estimate Common Neighbor for Link Prediction](https://openreview.net/pdf?id=Xa3dVaolKo) 180 | - [Towards Dynamic Message Passing on Graphs](https://openreview.net/pdf?id=4BWlUJF0E9) 181 | 182 | 183 | 184 | #### Foundational Models 185 | - [Cell ontology guided transcriptome foundation model](https://openreview.net/pdf?id=aeYNVtTo7o) 186 | - [A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning](https://openreview.net/pdf?id=VQyb9LKmUH) 187 | - [A Foundation Model for Zero-shot Logical Query Reasoning](https://openreview.net/pdf?id=JRSyMBBJi6) 188 | - [MeshXL: Neural Coordinate Field for Generative 3D Foundation Models](https://openreview.net/pdf?id=Gcks157FI3) 189 | - [GFT: Graph Foundation Model with Transferable Tree Vocabulary](https://openreview.net/pdf?id=0MXzbAv8xy) 190 | 191 | 192 | 193 | 194 | 195 | #### Transformers 196 | - [Supra-Laplacian Encoding for Transformer on Dynamic Graphs](https://openreview.net/pdf?id=vP9qAzr2Gw) 197 | - [Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors](https://openreview.net/pdf?id=i8LoWBJf7j) 198 | - [Long-range Brain Graph Transformer](https://openreview.net/pdf?id=fjLCqicn64) 199 | - [Graph Convolutions Enrich the Self-Attention in Transformers!](https://openreview.net/pdf?id=ffNrpcBpi6) 200 | - [Molecule Design by Latent Prompt Transformer](https://openreview.net/pdf?id=dg3tI3c2B1) 201 | - [EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection](https://openreview.net/pdf?id=cknAewsBhD) 202 | - [Graph Diffusion Transformers for Multi-Conditional Molecular Generation](https://openreview.net/pdf?id=cfrDLD1wfO) 203 | - [CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos](https://openreview.net/pdf?id=Zg4zs0l2iH) 204 | - [Knowledge Circuits in Pretrained Transformers](https://openreview.net/pdf?id=YVXzZNxcag) 205 | - [ProTransformer: Robustify Transformers via Plug-and-Play Paradigm](https://openreview.net/pdf?id=UkauUrTbxx) 206 | - [Enhancing Graph Transformers with Hierarchical Distance Structural Encoding](https://openreview.net/pdf?id=U4KldRgoph) 207 | - [Towards Principled Graph Transformers](https://openreview.net/pdf?id=LJCQH6U0pl) 208 | - [Even Sparser Graph Transformers](https://openreview.net/pdf?id=K3k4bWuNnk) 209 | - [Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers](https://openreview.net/pdf?id=Eok6HbcSRI) 210 | - [$\\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes](https://openreview.net/pdf?id=AvBuK8Ezrg) 211 | - [Understanding Transformer Reasoning Capabilities via Graph Algorithms](https://openreview.net/pdf?id=AfzbDw6DSp) 212 | - [Transformers need glasses! Information over-squashing in language tasks](https://openreview.net/pdf?id=93HCE8vTye) 213 | - [Finding Transformer Circuits With Edge Pruning](https://openreview.net/pdf?id=8oSY3rA9jY) 214 | - [ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses](https://openreview.net/pdf?id=3xHCaDdYcc) 215 | - [Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention](https://openreview.net/pdf?id=3j2nasmKkP) 216 | 217 | 218 | 219 | 220 | #### Optimal Transport 221 | - [Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss](https://openreview.net/pdf?id=tPgagXpvcV) 222 | - [Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling](https://openreview.net/pdf?id=hGgkdFF2hR) 223 | - [Fairness in Social Influence Maximization via Optimal Transport](https://openreview.net/pdf?id=axW8xvQPkF) 224 | 225 | 226 | 227 | 228 | #### Graph Generation 229 | - [Scene Graph Generation with Role-Playing Large Language Models](https://openreview.net/pdf?id=xpRUi8amtC) 230 | - [Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation](https://openreview.net/pdf?id=x4Kk4FxLs3) 231 | - [Diffusion Twigs with Loop Guidance for Conditional Graph Generation](https://openreview.net/pdf?id=fvOCJAAYLx) 232 | - [Discrete-state Continuous-time Diffusion for Graph Generation](https://openreview.net/pdf?id=YkSKZEhIYt) 233 | - [FairWire: Fair Graph Generation](https://openreview.net/pdf?id=V0JvwCQlJe) 234 | - [Adaptive Visual Scene Understanding: Incremental Scene Graph Generation](https://openreview.net/pdf?id=6lwKOvL3KN) 235 | 236 | 237 | 238 | 239 | #### Unsupervised Learning 240 | - [Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization](https://openreview.net/pdf?id=zkhyrxlwqH) 241 | - [Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning](https://openreview.net/pdf?id=xaqPAkJnAS) 242 | - [Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models](https://openreview.net/pdf?id=a1wf2N967T) 243 | 244 | 245 | 246 | 247 | 248 | #### Graph Meta-learning 249 | - [DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis](https://openreview.net/pdf?id=lJuQxkDbDo) 250 | - [Long-range Meta-path Search on Large-scale Heterogeneous Graphs](https://openreview.net/pdf?id=hbOWLtJNMK) 251 | 252 | #### Disentanglement 253 | - [Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation](https://openreview.net/pdf?id=zGN0YWy2he) 254 | 255 | 256 | 257 | 258 | 259 | ## GNNs for PDE/ODE/Physics 260 | - [What is my quantum computer good for? Quantum capability learning with physics-aware neural networks](https://openreview.net/pdf?id=4cU9ZvOkBz) 261 | - [Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs](https://openreview.net/pdf?id=ncqauwSyl5) 262 | 263 | 264 | 265 | 266 | ## Graph and Large Language Models/Agents 267 | - [Online Relational Inference for Evolving Multi-agent Interacting Systems](https://openreview.net/pdf?id=miO8odRzto) 268 | - [Can Graph Learning Improve Planning in LLM-based Agents?](https://openreview.net/pdf?id=bmoS6Ggw4j) 269 | - [UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction](https://openreview.net/pdf?id=Nycj81Z692) 270 | - [Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems](https://openreview.net/pdf?id=NGpMCH5q7Y) 271 | - [Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context](https://openreview.net/pdf?id=re0ly2Ylcu) 272 | - [GraphVis: Boosting LLMs with Visual Knowledge Graph Integration](https://openreview.net/pdf?id=haVPmN8UGi) 273 | - [Ad Auctions for LLMs via Retrieval Augmented Generation](https://openreview.net/pdf?id=Ujo8V7iXmR) 274 | - [Transcoders find interpretable LLM feature circuits](https://openreview.net/pdf?id=J6zHcScAo0) 275 | - [SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation](https://openreview.net/pdf?id=HmCmxbCpp2) 276 | - [LLM Dataset Inference: Did you train on my dataset?](https://openreview.net/pdf?id=Fr9d1UMc37) 277 | - [LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings](https://openreview.net/pdf?id=32g9BWTndc) 278 | 279 | 280 | 281 | 282 | 283 | ## Knowledge Graph and Knowledge Graph Embeddings 284 | - [KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge](https://openreview.net/pdf?id=rDoPMODpki) 285 | - [GraphVis: Boosting LLMs with Visual Knowledge Graph Integration](https://openreview.net/pdf?id=haVPmN8UGi) 286 | - [Knowledge Graph Completion by Intermediate Variables Regularization](https://openreview.net/pdf?id=d226uyWYUo) 287 | - [A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning](https://openreview.net/pdf?id=VQyb9LKmUH) 288 | - [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw) 289 | - [Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction](https://openreview.net/pdf?id=V2MBWYXp63) 290 | - [KnowGPT: Knowledge Graph based Prompting for Large Language Models](https://openreview.net/pdf?id=PacBluO5m7) 291 | - [UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction](https://openreview.net/pdf?id=Nycj81Z692) 292 | - [Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model](https://openreview.net/pdf?id=GB5a0RRYuv) 293 | - [Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs](https://openreview.net/pdf?id=CwCUEr6wO5) 294 | - [Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding](https://openreview.net/pdf?id=BpJ6OTfWw3) 295 | 296 | 297 | 298 | 299 | 300 | 301 | 302 | ## Spatial and/or Temporal GNNs 303 | - [Learning from Highly Sparse Spatio-temporal Data](https://openreview.net/pdf?id=rTONicCCJm) 304 | - [EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection](https://openreview.net/pdf?id=cknAewsBhD) 305 | - [A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking](https://openreview.net/pdf?id=VUBtAcQN44) 306 | - [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw) 307 | - [State Space Models on Temporal Graphs: A First-Principles Study](https://openreview.net/pdf?id=UaJErAOssN) 308 | - [Improving Temporal Link Prediction via Temporal Walk Matrix Projection](https://openreview.net/pdf?id=Ti3ciyqlS3) 309 | - [Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs](https://openreview.net/pdf?id=6n709MszkP) 310 | - [Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed](https://openreview.net/pdf?id=266nH7kLSV) 311 | 312 | 313 | 314 | 315 | 316 | 317 | 318 | 319 | ## GNN Applications 320 | - [Differentially Private Graph Diffusion with Applications in Personalized PageRanks](https://openreview.net/pdf?id=aon7bwYBiq) 321 | - [A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds](https://openreview.net/pdf?id=XlvUz9F50g) 322 | - [PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications](https://openreview.net/pdf?id=WvoKwq12x5) 323 | - [Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model](https://openreview.net/pdf?id=GB5a0RRYuv) 324 | - [A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis](https://openreview.net/pdf?id=STrpbhrvt3) 325 | - [HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data](https://openreview.net/pdf?id=HUxtJcQpDS) 326 | - [Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series](https://openreview.net/pdf?id=9hCn01VAdC) 327 | 328 | 329 | 330 | 331 | ## Explainable AI 332 | - [Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning](https://openreview.net/pdf?id=ziehA15y8k) 333 | - [A hierarchical decomposition for explaining ML performance discrepancies](https://openreview.net/pdf?id=nXXwYsARXB) 334 | - [RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks](https://openreview.net/pdf?id=ejWvCpLuwu) 335 | - [MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs](https://openreview.net/pdf?id=re2jPCnzkA) 336 | - [Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors](https://openreview.net/pdf?id=i8LoWBJf7j) 337 | - [GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules](https://openreview.net/pdf?id=fzlMza6dRZ) 338 | - [Transcoders find interpretable LLM feature circuits](https://openreview.net/pdf?id=J6zHcScAo0) 339 | 340 | 341 | 342 | 343 | ## Reinforcement Learning 344 | - [Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning](https://openreview.net/pdf?id=ziehA15y8k) 345 | - [FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation](https://openreview.net/pdf?id=q9RLsvYOB3) 346 | - [Optimizing Automatic Differentiation with Deep Reinforcement Learning](https://openreview.net/pdf?id=hVmi98a0ki) 347 | - [On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games](https://openreview.net/pdf?id=QgMC8ftbNd) 348 | - [Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems](https://openreview.net/pdf?id=NGpMCH5q7Y) 349 | - [Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning](https://openreview.net/pdf?id=DUFD6vsyF8) 350 | - [Enhancing Chess Reinforcement Learning with Graph Representation](https://openreview.net/pdf?id=97OvPgmjRN) 351 | - [Amortized Active Causal Induction with Deep Reinforcement Learning](https://openreview.net/pdf?id=7AXY27kdNH) 352 | - [Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning](https://openreview.net/pdf?id=6KDZHgrDhG) 353 | 354 | 355 | 356 | 357 | 358 | 359 | ## Graphs and Molecules 360 | - [TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models](https://openreview.net/pdf?id=lBh5kuuY1L) 361 | - [Conditional Synthesis of 3D Molecules with Time Correction Sampler](https://openreview.net/pdf?id=gipFTlvfF1) 362 | - [Molecule Design by Latent Prompt Transformer](https://openreview.net/pdf?id=dg3tI3c2B1) 363 | - [UniIF: Unified Molecule Inverse Folding](https://openreview.net/pdf?id=clqX9cVDKV) 364 | - [QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation](https://openreview.net/pdf?id=RqvesBxqDo) 365 | - [Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization](https://openreview.net/pdf?id=EWcvxXtzNu) 366 | - [Score-based 3D molecule generation with neural fields](https://openreview.net/pdf?id=9lGJrkqJUw) 367 | - [Molecule Generation with Fragment Retrieval Augmentation](https://openreview.net/pdf?id=56Q0qggDlp) 368 | - [FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling](https://openreview.net/pdf?id=4AB54h21qG) 369 | - [ProtGO: Function-Guided Protein Modeling for Unified Representation Learning](https://openreview.net/pdf?id=0oUutV92YF) 370 | - [Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure](https://openreview.net/pdf?id=0e5uOaJxo1) 371 | 372 | 373 | 374 | 375 | 376 | ## **GFlowNets** 377 | - [RGFN: Synthesizable Molecular Generation Using GFlowNets](https://openreview.net/pdf?id=hpvJwmzEHX) 378 | - [Genetic-guided GFlowNets for Sample Efficient Molecular Optimization](https://openreview.net/pdf?id=B4q98aAZwt) 379 | 380 | 381 | 382 | 383 | 384 | ## Causal Discovery and Graphs 385 | - [Causal Discovery from Event Sequences by Local Cause-Effect Attribution](https://openreview.net/pdf?id=y9zIRxshzj) 386 | - [Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models](https://openreview.net/pdf?id=xnmm1jThkv) 387 | - [Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand](https://openreview.net/pdf?id=vymkuBMLlh) 388 | - [Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits](https://openreview.net/pdf?id=uM3rQ14iex) 389 | - [Disentangled Representation Learning in Non-Markovian Causal Systems](https://openreview.net/pdf?id=uLGyoBn7hm) 390 | - [On Causal Discovery in the Presence of Deterministic Relations](https://openreview.net/pdf?id=pfvcsgFrJ6) 391 | - [Learning the Latent Causal Structure for Modeling Label Noise](https://openreview.net/pdf?id=nJKfNiEBvq) 392 | - [A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences](https://openreview.net/pdf?id=mP084aMFsd) 393 | - [Interventional Causal Discovery in a Mixture of DAGs](https://openreview.net/pdf?id=mFrlCI8sov) 394 | - [Identifying General Mechanism Shifts in Linear Causal Representations](https://openreview.net/pdf?id=jWaXhCYTV1) 395 | - [Causal Effect Identification in a Sub-Population with Latent Variables](https://openreview.net/pdf?id=iEsyRsg6t1) 396 | - [Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity](https://openreview.net/pdf?id=dB99jjwx3h) 397 | - [Causal discovery with endogenous context variables](https://openreview.net/pdf?id=cU8d7LeOyx) 398 | - [On the Complexity of Identification in Linear Structural Causal Models](https://openreview.net/pdf?id=bNDwOoxj6W) 399 | - [Learning Mixtures of Unknown Causal Interventions](https://openreview.net/pdf?id=aC9mB1PqYJ) 400 | - [Sample Complexity of Interventional Causal Representation Learning](https://openreview.net/pdf?id=XL9aaXl0u6) 401 | - [Sample Efficient Bayesian Learning of Causal Graphs from Interventions](https://openreview.net/pdf?id=RfSvAom7sS) 402 | - [Linear Causal Bandits: Unknown Graph and Soft Interventions](https://openreview.net/pdf?id=PAu0W5YAKC) 403 | - [Identifying Causal Effects Under Functional Dependencies](https://openreview.net/pdf?id=OIsUWQSvkD) 404 | - [A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs](https://openreview.net/pdf?id=NhyDfZXjQX) 405 | - [Consistency of Neural Causal Partial Identification](https://openreview.net/pdf?id=GEbnPxD9EF) 406 | - [On the Parameter Identifiability of Partially Observed Linear Causal Models](https://openreview.net/pdf?id=EQZlEfjrkV) 407 | - [QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs](https://openreview.net/pdf?id=BptJGaPn9C) 408 | - [Amortized Active Causal Induction with Deep Reinforcement Learning](https://openreview.net/pdf?id=7AXY27kdNH) 409 | - [Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference](https://openreview.net/pdf?id=6gIcnPvw2x) 410 | - [CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction](https://openreview.net/pdf?id=5BXXoJh0Vr) 411 | 412 | 413 | 414 | 415 | 416 | ## Federated Learning, Privacy, Decentralization 417 | - [FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction](https://openreview.net/pdf?id=zBMKodNgKX) 418 | - [FedGMark: Certifiably Robust Watermarking for Federated Graph Learning](https://openreview.net/pdf?id=xeviQPXTMU) 419 | - [Federated Graph Learning for Cross-Domain Recommendation](https://openreview.net/pdf?id=UBpPOqrBKE) 420 | - [FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference](https://openreview.net/pdf?id=I96GFYalFO) 421 | - [Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning](https://openreview.net/pdf?id=DUFD6vsyF8) 422 | - [On provable privacy vulnerabilities of graph representations](https://openreview.net/pdf?id=LSqDcfX3xU) 423 | 424 | 425 | 426 | 427 | 428 | ## Scene Graphs 429 | - [Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation](https://openreview.net/pdf?id=zGN0YWy2he) 430 | - [Scene Graph Generation with Role-Playing Large Language Models](https://openreview.net/pdf?id=xpRUi8amtC) 431 | - [SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation](https://openreview.net/pdf?id=HmCmxbCpp2) 432 | - [Adaptive Visual Scene Understanding: Incremental Scene Graph Generation](https://openreview.net/pdf?id=6lwKOvL3KN) 433 | - [Multiview Scene Graph](https://openreview.net/pdf?id=1ELFGSNBGC) 434 | 435 | 436 | 437 | 438 | ## Graphs, GNNs and Efficiency 439 | - [Cost-efficient Knowledge-based Question Answering with Large Language Models](https://openreview.net/pdf?id=pje1Y71jad) 440 | - [An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning](https://openreview.net/pdf?id=dqdffX3BS5) 441 | - [Sample Efficient Bayesian Learning of Causal Graphs from Interventions](https://openreview.net/pdf?id=RfSvAom7sS) 442 | - [Efficient Policy Evaluation Across Multiple Different Experimental Datasets](https://openreview.net/pdf?id=PSubtZAitM) 443 | - [Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach](https://openreview.net/pdf?id=Luxk3z1tSG) 444 | - [Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators](https://openreview.net/pdf?id=J2wI2rCG2u) 445 | - [Efficient Streaming Algorithms for Graphlet Sampling](https://openreview.net/pdf?id=EC9Hfi9V3k) 446 | - [Genetic-guided GFlowNets for Sample Efficient Molecular Optimization](https://openreview.net/pdf?id=B4q98aAZwt) 447 | - [Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction](https://openreview.net/pdf?id=859DtlwnAD) 448 | - [Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust](https://openreview.net/pdf?id=4NQ24cHnOi) 449 | - [ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses](https://openreview.net/pdf?id=3xHCaDdYcc) 450 | - [Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images](https://openreview.net/pdf?id=2dfBpyqh0A) 451 | - [GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning](https://openreview.net/pdf?id=O97BzlN9Wh) 452 | 453 | # Others 454 | - [Graph Edit Distance with General Costs Using Neural Set Divergence](https://openreview.net/pdf?id=u7JRmrGutT) 455 | - [What Matters in Graph Class Incremental Learning? An Information Preservation Perspective](https://openreview.net/pdf?id=tJGX7tpGO8) 456 | - [Generative Modelling of Structurally Constrained Graphs](https://openreview.net/pdf?id=A3hxp0EeNW) 457 | - [Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level](https://openreview.net/pdf?id=oTzydUKWpq) 458 | - [Boosting Graph Pooling with Persistent Homology](https://openreview.net/pdf?id=WcmqdY2AKu) 459 | - [GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting](https://openreview.net/pdf?id=Ns0LQokxa5) 460 | - [ARC: A Generalist Graph Anomaly Detector with In-Context Learning](https://openreview.net/pdf?id=IdIVfzjPK4) 461 | - [Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images](https://openreview.net/pdf?id=tsIKrvexBd) 462 | - [Road Network Representation Learning with the Third Law of Geography](https://openreview.net/pdf?id=gPtiGRaVcE) 463 | - [Bayesian Optimization of Functions over Node Subsets in Graphs](https://openreview.net/pdf?id=KxjGi1krBi) 464 | - [IF-Font: Ideographic Description Sequence-Following Font Generation](https://openreview.net/pdf?id=ciwOcmo8CC) 465 | - [Almost Surely Asymptotically Constant Graph Neural Networks](https://openreview.net/pdf?id=Dn68qdfTry) 466 | - [Distributed-Order Fractional Graph Operating Network](https://openreview.net/pdf?id=kEQFjKqiqM) 467 | - [DiGRAF: Diffeomorphic Graph-Adaptive Activation Function](https://openreview.net/pdf?id=ZZoW4Z3le4) 468 | - [Generalizing CNNs to graphs with learnable neighborhood quantization](https://openreview.net/pdf?id=dYIqAZXQNV) 469 | - [InstructG2I: Synthesizing Images from Multimodal Attributed Graphs](https://openreview.net/pdf?id=zWnW4zqkuM) 470 | - [On the Scalability of GNNs for Molecular Graphs](https://openreview.net/pdf?id=klqhrq7fvB) 471 | - [Spiking Graph Neural Network on Riemannian Manifolds](https://openreview.net/pdf?id=VKt0K3iOmO) 472 | - [Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy](https://openreview.net/pdf?id=e2INndPINB) 473 | - [DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ](https://openreview.net/pdf?id=bcVLFQCOjc) 474 | - [Idiographic Personality Gaussian Process for Psychological Assessment](https://openreview.net/pdf?id=Twqa0GFMGX) 475 | - [What do Graph Neural Networks learn? Insights from Tropical Geometry](https://openreview.net/pdf?id=Oy2x0Xfx0u) 476 | - [Accelerating Non-Maximum Suppression: A Graph Theory Perspective](https://openreview.net/pdf?id=0lau89u4oE) 477 | - [Cryptographic Hardness of Score Estimation](https://openreview.net/pdf?id=URQXbwM0Md) 478 | - [Graph Neural Networks and Arithmetic Circuits](https://openreview.net/pdf?id=0ZeONp33f0) 479 | - [Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs](https://openreview.net/pdf?id=ncqauwSyl5) 480 | - [Probabilistic Graph Rewiring via Virtual Nodes](https://openreview.net/pdf?id=LpvSHL9lcK) 481 | - [Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification](https://openreview.net/pdf?id=AF32GbuupC) 482 | - [SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision](https://openreview.net/pdf?id=Ad3PzTuqIq) 483 | - [Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos](https://openreview.net/pdf?id=2HvgvB4aWq) 484 | - [Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks](https://openreview.net/pdf?id=dg0hO4M11K) 485 | - [Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism](https://openreview.net/pdf?id=He2GCHeRML) 486 | - [UniGAD: Unifying Multi-level Graph Anomaly Detection](https://openreview.net/pdf?id=sRILMnkkQd) 487 | - [GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction](https://openreview.net/pdf?id=zn6s6VQYb0) 488 | - [Visual Data Diagnosis and Debiasing with Concept Graphs](https://openreview.net/pdf?id=XNGsx3WCU9) 489 | - [Deep Graph Mating](https://openreview.net/pdf?id=m4NI2yIwJA) 490 | - [Energy-based Epistemic Uncertainty for Graph Neural Networks](https://openreview.net/pdf?id=6vNPPtWH1Q) 491 | - [Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion](https://openreview.net/pdf?id=qwl3EiDi9r) 492 | - [Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba](https://openreview.net/pdf?id=pCJ0l1JVUX) 493 | - [Similarity-Navigated Conformal Prediction for Graph Neural Networks](https://openreview.net/pdf?id=iBZSOh027z) 494 | - [Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits](https://openreview.net/pdf?id=7flSQgZ4RT) 495 | - [Graph Classification via Reference Distribution Learning: Theory and Practice](https://openreview.net/pdf?id=1zVinhehks) 496 | - [Continuous Product Graph Neural Networks](https://openreview.net/pdf?id=XRNN9i1xpi) 497 | - [Uncovering the Redundancy in Graph Self-supervised Learning Models](https://openreview.net/pdf?id=7Ntft3U7jj) 498 | - [Logical characterizations of recurrent graph neural networks with reals and floats](https://openreview.net/pdf?id=atDcnWqG5n) 499 | - [Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series](https://openreview.net/pdf?id=tFB5SsabVb) 500 | - [DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks](https://openreview.net/pdf?id=CDe2zBPioj) 501 | - [DistrictNet: Decision-aware learning for geographical districting](https://openreview.net/pdf?id=njwYBFau8E) 502 | - [Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections](https://openreview.net/pdf?id=LuqrIkGuru) 503 | - [Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks](https://openreview.net/pdf?id=wTIzpqX121) 504 | - [Unitary Convolutions for Learning on Graphs and Groups](https://openreview.net/pdf?id=lG1VEQJvUH) 505 | - [GRANOLA: Adaptive Normalization for Graph Neural Networks](https://openreview.net/pdf?id=qd8blc0o0F) 506 | - [Mind the Graph When Balancing Data for Fairness or Robustness](https://openreview.net/pdf?id=LQR22jM5l3) 507 | - [Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention](https://openreview.net/pdf?id=3ADBiWNUBb) 508 | - [Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network](https://openreview.net/pdf?id=Y1edWJH9qB) 509 | - [Analysis of Corrected Graph Convolutions](https://openreview.net/pdf?id=MSsQDWUWpd) 510 | - [GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning](https://openreview.net/pdf?id=SaodQ13jga) 511 | - [Microstructures and Accuracy of Graph Recall by Large Language Models](https://openreview.net/pdf?id=tNhwg9U767) 512 | - [Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior](https://openreview.net/pdf?id=a3cauWMXNV) 513 | - [Continuous Partitioning for Graph-Based Semi-Supervised Learning](https://openreview.net/pdf?id=hCOuip5Ona) 514 | - [On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models](https://openreview.net/pdf?id=KcmhSrHzJB) 515 | - [What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks](https://openreview.net/pdf?id=GmdGEF8xxU) 516 | - [Gradient Rewiring for Editable Graph Neural Network Training](https://openreview.net/pdf?id=XY2qrq7cXM) 517 | - [Graph Learning for Numeric Planning](https://openreview.net/pdf?id=Wxc6KvQgLq) 518 | - [Towards Harmless Rawlsian Fairness Regardless of Demographic Prior](https://openreview.net/pdf?id=7U5MwUS3Rw) 519 | - [DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment](https://openreview.net/pdf?id=hKVTwQQu76) 520 | - [Dissecting the Failure of Invariant Learning on Graphs](https://openreview.net/pdf?id=7eFS8aZHAM) 521 | - [Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach](https://openreview.net/pdf?id=FXdMgfCDer) 522 | - [Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem](https://openreview.net/pdf?id=4NGlu45uyt) 523 | - [Spatio-Spectral Graph Neural Networks](https://openreview.net/pdf?id=Cb3kcwYBgw) 524 | - [Motion Graph Unleashed: A Novel Approach to Video Prediction](https://openreview.net/pdf?id=4ztP4PujOG) 525 | - [Bridge the Points: Graph-based Few-shot Segment Anything Semantically](https://openreview.net/pdf?id=jYypS5VIPj) 526 | - [Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module](https://openreview.net/pdf?id=VywZsAGhp0) 527 | - [RAGraph: A General Retrieval-Augmented Graph Learning Framework](https://openreview.net/pdf?id=Dzk2cRUFMt) 528 | - [Learning on Large Graphs using Intersecting Communities](https://openreview.net/pdf?id=pGR5X4e1gy) 529 | - [DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph](https://openreview.net/pdf?id=5IFeCNA7zR) 530 | - [UGC: Universal Graph Coarsening](https://openreview.net/pdf?id=nN6NSd1Qds) 531 | - [Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks](https://openreview.net/pdf?id=1mAaewThcz) 532 | - [LLaMo: Large Language Model-based Molecular Graph Assistant](https://openreview.net/pdf?id=WKTNdU155n) 533 | - [Are Graph Neural Networks Optimal Approximation Algorithms?](https://openreview.net/pdf?id=SxRblm9aMs) 534 | - [Spectral Graph Pruning Against Over-Squashing and Over-Smoothing](https://openreview.net/pdf?id=EMkrwJY2de) 535 | - [The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks](https://openreview.net/pdf?id=aFWx1N84Fe) 536 | - [Graph Coarsening with Message-Passing Guarantees](https://openreview.net/pdf?id=rIOTceoNc8) 537 | - [CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search](https://openreview.net/pdf?id=ohvXBIPV7e) 538 | - [Dynamic Rescaling for Training GNNs](https://openreview.net/pdf?id=IfZwSRpqHl) 539 | - [An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval](https://openreview.net/pdf?id=Q4QUCN2ioc) 540 | - [EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics](https://openreview.net/pdf?id=js5vZtyoIQ) 541 | - [Robust Offline Active Learning on Graphs](https://openreview.net/pdf?id=MDsl1ifiNS) 542 | - [Active design of two-photon holographic stimulation for identifying neural population dynamics](https://openreview.net/pdf?id=nLQeE8QGGe) 543 | - [Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs](https://openreview.net/pdf?id=gSGLkCX9sc) 544 | - [G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://openreview.net/pdf?id=MPJ3oXtTZl) 545 | - [The Intelligible and Effective Graph Neural Additive Network](https://openreview.net/pdf?id=SKY1ScUTwA) 546 | - [DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation](https://openreview.net/pdf?id=GMsi9966DR) 547 | - [A Structure-Aware Framework for Learning Device Placements on Computation Graphs](https://openreview.net/pdf?id=Kzno1r3Xef) 548 | - [Fairness-Aware Estimation of Graphical Models](https://openreview.net/pdf?id=WvWS8goWyR) 549 | - [HGDL: Heterogeneous Graph Label Distribution Learning](https://openreview.net/pdf?id=OwguhIAh8R) 550 | - [A Topology-aware Graph Coarsening Framework for Continual Graph Learning](https://openreview.net/pdf?id=VpINEEVLX0) 551 | - [Robust Graph Neural Networks via Unbiased Aggregation](https://openreview.net/pdf?id=dz6ex9Ee0Q) 552 | - [Challenges of Generating Structurally Diverse Graphs](https://openreview.net/pdf?id=bbGPoL1NLo) 553 | - [Mixture of Link Predictors on Graphs](https://openreview.net/pdf?id=X3oeoyJlMw) 554 | - [Regression under demographic parity constraints via unlabeled post-processing](https://openreview.net/pdf?id=UtbjD5LGnC) 555 | - [Graph neural networks and non-commuting operators](https://openreview.net/pdf?id=6aJrEC28hR) 556 | - [Graph-based Uncertainty Metrics for Long-form Language Model Generations](https://openreview.net/pdf?id=YgJPQW0lkO) 557 | - [Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution](https://openreview.net/pdf?id=55zLbH7dE1) 558 | - [Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation](https://openreview.net/pdf?id=FzwAQJK4CG) 559 | - [Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction](https://openreview.net/pdf?id=crlvDzDPgM) 560 | - [GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning](https://openreview.net/pdf?id=O97BzlN9Wh) 561 | - [FUGAL: Feature-fortified Unrestricted Graph Alignment](https://openreview.net/pdf?id=SdLOs1FR4h) 562 | - [Graphcode: Learning from multiparameter persistent homology using graph neural networks](https://openreview.net/pdf?id=O23XfTnhWR) 563 | - [Stochastic contextual bandits with graph feedback: from independence number to MAS number](https://openreview.net/pdf?id=t8iosEWoyd) 564 | - [Generative Semi-supervised Graph Anomaly Detection](https://openreview.net/pdf?id=zqLAMwVLkt) 565 | - [GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs](https://openreview.net/pdf?id=hW5QWiCctl) 566 | - [Non-convolutional graph neural networks.](https://openreview.net/pdf?id=JDAQwysFOc) 567 | - [Linear Uncertainty Quantification of Graphical Model Inference](https://openreview.net/pdf?id=XOVks7JHQA) 568 | - [Graph Neural Networks Do Not Always Oversmooth](https://openreview.net/pdf?id=nY7fGtsspU) 569 | - [Schur Nets: exploiting local structure for equivariance in higher order graph neural networks](https://openreview.net/pdf?id=HRnSVflpgt) 570 | 571 | 572 | 573 | 574 | 575 | 576 | 577 | 578 | 579 | ## More Possible Works 580 | *(Needs Verification Yet)* 581 | 582 | - [Markov Equivalence and Consistency in Differentiable Structure Learning](https://openreview.net/pdf?id=TMlGQw7EbC) 583 | - [SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models](https://openreview.net/pdf?id=JKEIYQUSUc) 584 | - [On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models](https://openreview.net/pdf?id=kLen1XyW6P) 585 | - [Domain Adaptation for Large-Vocabulary Object Detectors](https://openreview.net/pdf?id=deZpmEfmTo) 586 | - [Tackling Uncertain Correspondences for Multi-Modal Entity Alignment](https://openreview.net/pdf?id=IAse6CAG26) 587 | - [Learning rigid-body simulators over implicit shapes for large-scale scenes and vision](https://openreview.net/pdf?id=QDYts5dYgq) 588 | - [Combining Observational Data and Language for Species Range Estimation](https://openreview.net/pdf?id=IOKLUxB05h) 589 | - [GS-Hider: Hiding Messages into 3D Gaussian Splatting](https://openreview.net/pdf?id=3XLQp2Xx3J) 590 | - [Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models](https://openreview.net/pdf?id=ANO1i9JPtb) 591 | - [Instance-Optimal Private Density Estimation in the Wasserstein Distance](https://openreview.net/pdf?id=Apq6corvfZ) 592 | - [DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering](https://openreview.net/pdf?id=mY0ZnS2s9u) 593 | - [Evaluating the World Model Implicit in a Generative Model](https://openreview.net/pdf?id=aVK4JFpegy) 594 | - [Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search](https://openreview.net/pdf?id=LJNqVIKSCr) 595 | - [Fair Wasserstein Coresets](https://openreview.net/pdf?id=ylceJ2xIw5) 596 | - [Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text](https://openreview.net/pdf?id=08A6X7FSTs) 597 | - [Delving into the Reversal Curse: How Far Can Large Language Models Generalize?](https://openreview.net/pdf?id=1wxFznQWhp) 598 | - [DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation](https://openreview.net/pdf?id=6ZwJSk2kvU) 599 | - [Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation](https://openreview.net/pdf?id=LtS7pP8rEn) 600 | - [EGonc : Energy-based Open-Set Node Classification with substitute Unknowns](https://openreview.net/pdf?id=3cL2XDyaEB) 601 | - [Practical Shuffle Coding](https://openreview.net/pdf?id=m2DaXpCoIi) 602 | - [Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation](https://openreview.net/pdf?id=gW0znG5JCG) 603 | - [Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm](https://openreview.net/pdf?id=dxwIaCVkWU) 604 | - [Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting](https://openreview.net/pdf?id=XZp1uP0hh2) 605 | - [Divergences between Language Models and Human Brains](https://openreview.net/pdf?id=DpP5F3UfKw) 606 | - [Expected Probabilistic Hierarchies](https://openreview.net/pdf?id=fMdrBucZnj) 607 | - [If You Want to Be Robust, Be Wary of Initialization](https://openreview.net/pdf?id=nxumYwxJPB) 608 | - [Accelerating ERM for data-driven algorithm design using output-sensitive techniques](https://openreview.net/pdf?id=yW3tlSwusb) 609 | - [Towards Flexible Visual Relationship Segmentation](https://openreview.net/pdf?id=kJkp2ECJT7) 610 | - [MKGL: Mastery of a Three-Word Language](https://openreview.net/pdf?id=eqMNwXvOqn) 611 | - [GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction](https://openreview.net/pdf?id=r6V7EjANUK) 612 | - [Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials](https://openreview.net/pdf?id=88rbNOtAez) 613 | - [Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification](https://openreview.net/pdf?id=4Lkzghiep1) 614 | - [Non-Euclidean Mixture Model for Social Network Embedding](https://openreview.net/pdf?id=nuZv2iTlvn) 615 | - [EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals](https://openreview.net/pdf?id=RfsfRn9OFd) 616 | - [PageRank Bandits for Link Prediction](https://openreview.net/pdf?id=VSz9na5Jtl) 617 | - [Deep Homomorphism Networks](https://openreview.net/pdf?id=KXUijdMFdG) 618 | - [HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation](https://openreview.net/pdf?id=njvPjG0BfK) 619 | - [Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures](https://openreview.net/pdf?id=347aDObXEa) 620 | - [Sequential Harmful Shift Detection Without Labels](https://openreview.net/pdf?id=jps9KkuSD3) 621 | - [Dynamic 3D Gaussian Fields for Urban Areas](https://openreview.net/pdf?id=xZxXNhndXU) 622 | - [Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way](https://openreview.net/pdf?id=p43ObIwJFW) 623 | - [Amortized Eigendecomposition for Neural Networks](https://openreview.net/pdf?id=OYOkkqRLvj) 624 | - [Transferable Boltzmann Generators](https://openreview.net/pdf?id=AYq6GxxrrY) 625 | - [Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation](https://openreview.net/pdf?id=QI1ScdeQjp) 626 | - [UniAR: A Unified model for predicting human Attention and Responses on visual content](https://openreview.net/pdf?id=FjssnGuHih) 627 | - [Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits](https://openreview.net/pdf?id=Ke40kfOT2E) 628 | - [Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models](https://openreview.net/pdf?id=GNSMl1P5VR) 629 | - [Deep Equilibrium Algorithmic Reasoning](https://openreview.net/pdf?id=SuLxkxCENa) 630 | - [Semantic Routing via Autoregressive Modeling](https://openreview.net/pdf?id=JvlrUFJMbI) 631 | - [Learning Representations for Hierarchies with Minimal Support](https://openreview.net/pdf?id=HFS800reZK) 632 | - [From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos](https://openreview.net/pdf?id=otxOtsWCMb) 633 | - [DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection](https://openreview.net/pdf?id=mlmTxJwVsb) 634 | - [Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections](https://openreview.net/pdf?id=ChnJ3W4HFG) 635 | - [Hardness of Learning Neural Networks under the Manifold Hypothesis](https://openreview.net/pdf?id=dkkgKzMni7) 636 | - [TopoFR: A Closer Look at Topology Alignment on Face Recognition](https://openreview.net/pdf?id=KVAx5tys2p) 637 | - [IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors](https://openreview.net/pdf?id=0SRJBtTNhX) 638 | - [Neural decoding from stereotactic EEG: accounting for electrode variability across subjects](https://openreview.net/pdf?id=LR1nnsD7H0) 639 | - [UniMTS: Unified Pre-training for Motion Time Series](https://openreview.net/pdf?id=DpByqSbdhI) 640 | - [HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://openreview.net/pdf?id=hkujvAPVsg) 641 | - [eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling](https://openreview.net/pdf?id=Ln8ogihZ2S) 642 | - [Breaking the curse of dimensionality in structured density estimation](https://openreview.net/pdf?id=dWwin2uGYE) 643 | - [Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)](https://openreview.net/pdf?id=S4YRCLbUK1) 644 | - [GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent](https://openreview.net/pdf?id=m1PVjNHvtP) 645 | - [The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More](https://openreview.net/pdf?id=f70e6YYFHF) 646 | - [Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image](https://openreview.net/pdf?id=YOUh3lgRYI) 647 | - [Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective](https://openreview.net/pdf?id=4jn7KWPHSD) 648 | - [On Differentially Private U Statistics](https://openreview.net/pdf?id=zApFYcLg6K) 649 | - [Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding](https://openreview.net/pdf?id=u5enPCwaLt) 650 | - [Generative Hierarchical Materials Search](https://openreview.net/pdf?id=PsPR4NOiRC) 651 | - [ChatCam: Empowering Camera Control through Conversational AI](https://openreview.net/pdf?id=IxazPgGF8h) 652 | - [Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models](https://openreview.net/pdf?id=KyVBzkConO) 653 | - [Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling](https://openreview.net/pdf?id=8B3sAX889P) 654 | - [Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals](https://openreview.net/pdf?id=uyLtEFnpQP) 655 | - [Estimating Epistemic and Aleatoric Uncertainty with a Single Model](https://openreview.net/pdf?id=WPxa6OcIdg) 656 | - [NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design](https://openreview.net/pdf?id=oEKFPSOWpp) 657 | - [Consensus Learning with Deep Sets for Essential Matrix Estimation](https://openreview.net/pdf?id=6sIOBDwr6d) 658 | - [Towards Effective Planning Strategies for Dynamic Opinion Networks](https://openreview.net/pdf?id=LYivxMp5es) 659 | - [Learning Low-Rank Feature for Thorax Disease Classification](https://openreview.net/pdf?id=GkzrVxs9LS) 660 | - [Smoothie: Label Free Language Model Routing](https://openreview.net/pdf?id=pPSWHsgqRp) 661 | - [SpeAr: A Spectral Approach for Zero-Shot Node Classification](https://openreview.net/pdf?id=eU87jJyEK5) 662 | - [A robust inlier identification algorithm for point cloud registration via $\\mathbf{\\ell_0}$-minimization](https://openreview.net/pdf?id=BJrBaLoDRJ) 663 | - [Metric Space Magnitude for Evaluating the Diversity of Latent Representations](https://openreview.net/pdf?id=glgZZAfssH) 664 | - [The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains](https://openreview.net/pdf?id=Y4mBaZu4vy) 665 | - [Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations](https://openreview.net/pdf?id=FwxOHl0BEl) 666 | - [Transfer Learning for Latent Variable Network Models](https://openreview.net/pdf?id=PK8xOCBQRO) 667 | - [Testing Calibration in Nearly-Linear Time](https://openreview.net/pdf?id=01XV5Za56k) 668 | - [Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling](https://openreview.net/pdf?id=JxlQ2pbyzS) 669 | - [Relational Concept Bottleneck Models](https://openreview.net/pdf?id=G99BSV9pt5) 670 | - [Navigating Chemical Space with Latent Flows](https://openreview.net/pdf?id=aAaV4ZbQ9j) 671 | - [Post-Hoc Reversal: Are We Selecting Models Prematurely?](https://openreview.net/pdf?id=3R7Go6WkDm) 672 | - [Geodesic Optimization for Predictive Shift Adaptation on EEG data](https://openreview.net/pdf?id=qTypwXvNJa) 673 | - [Neural Pfaffians: Solving Many Many-Electron Schrodinger Equations](https://openreview.net/pdf?id=HRkniCWM3E) 674 | - [Differentiable Structure Learning with Partial Orders](https://openreview.net/pdf?id=B2cTLakrhV) 675 | - [Taming the Long Tail in Human Mobility Prediction](https://openreview.net/pdf?id=wT2TIfHKp8) 676 | - [CLIP in Mirror: Disentangling text from visual images through reflection](https://openreview.net/pdf?id=FYm8coxdiR) 677 | - [Multilingual Diversity Improves Vision-Language Representations](https://openreview.net/pdf?id=1WtEqReCyS) 678 | - [Expert-level protocol translation for self-driving labs](https://openreview.net/pdf?id=qXidsICaja) 679 | - [G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models](https://openreview.net/pdf?id=21tn63ee15) 680 | - [Learning Discrete Concepts in Latent Hierarchical Models](https://openreview.net/pdf?id=bO5bUxvH6m) 681 | - [MeMo: Meaningful, Modular Controllers via Noise Injection](https://openreview.net/pdf?id=5DJBBACqim) 682 | - [Edit Distance Robust Watermarks via Indexing Pseudorandom Codes](https://openreview.net/pdf?id=FZ45kf5pIA) 683 | - [Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections](https://openreview.net/pdf?id=Ss7l98DVvD) 684 | - [Generative Forests](https://openreview.net/pdf?id=cRlQHncjwT) 685 | - [bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction](https://openreview.net/pdf?id=HtlfNbyfOn) 686 | - [Inversion-based Latent Bayesian Optimization](https://openreview.net/pdf?id=TrN5TcWY87) 687 | - [ST$_k$: A Scalable Module for Solving Top-k Problems](https://openreview.net/pdf?id=OdJKB9jSa5) 688 | - [DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering](https://openreview.net/pdf?id=2nvkD0sPOk) 689 | - [Counterfactual Fairness by Combining Factual and Counterfactual Predictions](https://openreview.net/pdf?id=J0Itri0UiN) 690 | - [AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation](https://openreview.net/pdf?id=ekK26cW5TB) 691 | - [Iterative Methods via Locally Evolving Set Process](https://openreview.net/pdf?id=wT2KhEb97a) 692 | - [Can Models Learn Skill Composition from Examples?](https://openreview.net/pdf?id=1sLdprsbmk) 693 | - [Exponential Quantum Communication Advantage in Distributed Inference and Learning](https://openreview.net/pdf?id=gGR9dJbe3r) 694 | - [DeiSAM: Segment Anything with Deictic Prompting](https://openreview.net/pdf?id=cmSNX47aEH) 695 | - [Group Robust Preference Optimization in Reward-free RLHF](https://openreview.net/pdf?id=PRAsjrmXXK) 696 | - [Harnessing Multiple Correlated Networks for Exact Community Recovery](https://openreview.net/pdf?id=7Fzx3Akdt5) 697 | - [Why the Metric Backbone Preserves Community Structure](https://openreview.net/pdf?id=Kx8I0rP7w2) 698 | - [MambaTree: Tree Topology is All You Need in State Space Model](https://openreview.net/pdf?id=W8rFsaKr4m) 699 | - [On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization](https://openreview.net/pdf?id=IXRa8adMHX) 700 | - [Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation](https://openreview.net/pdf?id=18FGRNd0wZ) 701 | - [Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces](https://openreview.net/pdf?id=wAqdvcK1Fv) 702 | - [Information Re-Organization Improves Reasoning in Large Language Models](https://openreview.net/pdf?id=SciWuYPNG0) 703 | - [Qualitative Mechanism Independence](https://openreview.net/pdf?id=RE5LSV8QYH) 704 | - [Persistent Homology for High-dimensional Data Based on Spectral Methods](https://openreview.net/pdf?id=ARV1gJSOzV) 705 | - [Fairness without Harm: An Influence-Guided Active Sampling Approach](https://openreview.net/pdf?id=YYJojVBCcd) 706 | - [Extracting Training Data from Molecular Pre-trained Models](https://openreview.net/pdf?id=cV4fcjcwmz) 707 | - [Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases](https://openreview.net/pdf?id=AWFryOJaGi) 708 | - [LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes](https://openreview.net/pdf?id=CcmHlE6N6u) 709 | - [On the Computational Landscape of Replicable Learning](https://openreview.net/pdf?id=1PCsDNG6Jg) 710 | - [What type of inference is planning?](https://openreview.net/pdf?id=TXsRGrzICz) 711 | - [Shape analysis for time series](https://openreview.net/pdf?id=JM0IQSliol) 712 | - [realSEUDO for real-time calcium imaging analysis](https://openreview.net/pdf?id=Ye0O4Nyn21) 713 | - [Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering](https://openreview.net/pdf?id=kngLs5H6l1) 714 | - [DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM](https://openreview.net/pdf?id=u1mNGLYN74) 715 | - [Exploring Molecular Pretraining Model at Scale](https://openreview.net/pdf?id=64V40K2fDv) 716 | - [FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing](https://openreview.net/pdf?id=qrfp4eeZ47) 717 | - [Entity Alignment with Noisy Annotations from Large Language Models](https://openreview.net/pdf?id=qfCQ54ZTX1) 718 | - [End-to-End Ontology Learning with Large Language Models](https://openreview.net/pdf?id=UqvEHAnCJC) 719 | - [Questioning the Survey Responses of Large Language Models](https://openreview.net/pdf?id=Oo7dlLgqQX) 720 | - [Mixture of neural fields for heterogeneous reconstruction in cryo-EM](https://openreview.net/pdf?id=TuspoNzIdB) 721 | - [TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing](https://openreview.net/pdf?id=YjZ6fQAvT7) 722 | - [SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network](https://openreview.net/pdf?id=GYqs5Z4joA) 723 | - [Latent Intrinsics Emerge from Training to Relight](https://openreview.net/pdf?id=ltnDg0EzF9) 724 | - [Fractal Patterns May Illuminate the Success of Next-Token Prediction](https://openreview.net/pdf?id=clAFYReaYE) 725 | - [Large language model validity via enhanced conformal prediction methods](https://openreview.net/pdf?id=JD3NYpeQ3R) 726 | - [Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting](https://openreview.net/pdf?id=EwWpAPzcay) 727 | 728 | 729 | 730 | --- 731 | 732 | 733 | **Missing any paper?** 734 | If any paper is absent from the list, please feel free to [mail](mailto:azminetoushik.wasi@gmail.com) or [open an issue](https://github.com/azminewasi/Awesome-Graph-Research-NeurIPS2024/issues/new/choose) or submit a pull request. I'll gladly add that! Also, If I mis-categorized, please knock! 735 | 736 | --- 737 | 738 | ## More Collectons: 739 | - [Awesome **NeurIPS'24** ***Molecular ML*** Paper Collection](https://github.com/azminewasi/Awesome-MoML-NeurIPS24) 740 | - [**Awesome ICML 2024 Graph Paper Collection**](https://github.com/azminewasi/Awesome-Graph-Research-ICML2024) 741 | - [**Awesome ICLR 2024 Graph Paper Collection**](https://github.com/azminewasi/Awesome-Graph-Research-ICLR2024) 742 | - [**Awesome-LLMs-ICLR-24**](https://github.com/azminewasi/Awesome-LLMs-ICLR-24/) 743 | 744 | --- 745 | 746 | ## ✨ **Credits** 747 | **Azmine Toushik Wasi** 748 | 749 | [![website](https://img.shields.io/badge/-Website-blue?style=flat-square&logo=rss&color=1f1f15)](https://azminewasi.github.io) 750 | [![linkedin](https://img.shields.io/badge/LinkedIn-%320beff?style=flat-square&logo=linkedin&color=1f1f18)](https://www.linkedin.com/in/azmine-toushik-wasi/) 751 | [![kaggle](https://img.shields.io/badge/Kaggle-%2320beff?style=flat-square&logo=kaggle&color=1f1f1f)](https://www.kaggle.com/azminetoushikwasi) 752 | [![google-scholar](https://img.shields.io/badge/Google%20Scholar-%2320beff?style=flat-square&logo=google-scholar&color=1f1f18)](https://scholar.google.com/citations?user=X3gRvogAAAAJ&hl=en) 753 | [![facebook](https://img.shields.io/badge/Facebook-%2320beff?style=flat-square&logo=facebook&color=1f1f15)](https://www.facebook.com/cholche.gari.zatrabari/) 754 | --------------------------------------------------------------------------------