├── .gitignore ├── README.md ├── colabs ├── CS224W_Colab_0.ipynb ├── CS224W_Colab_1.ipynb ├── CS224W_Colab_1_sol.ipynb ├── CS224W_Colab_2.ipynb ├── CS224W_Colab_2_sol.ipynb ├── CS224W_Colab_3.ipynb ├── CS224W_Colab_3_sol.ipynb ├── CS224W_Colab_4.ipynb └── CS224W_Colab_5.ipynb ├── homework ├── CS224W_Winter2223_HW1.pdf ├── CS224W_Winter2223_HW2.pdf └── CS224W_Winter2223_HW3.pdf └── notes ├── 01 - Introduction.md ├── 02 - Feature Engineering for Machine Learning in Graphs.md ├── 03 - Node Embeddings.md ├── 04 - Graph Neural Networks (GNN).md ├── 05 - A General Perspective on Graph Neural Networks.md ├── 06 - GNN Augumentation and Training.md ├── 07 - How Expressive are Graph Neural Networks.md ├── 08 - Label Propagation on Graphs.md ├── 09 - Machine Learning with Heterogeneous Graphs.md ├── 10 - Knowledge Graph Embeddings.md ├── 11 - Reasoning over Knowledge Graphs.md ├── 12 - Fast Neural Subgraph Matching and Counting.md ├── 13 - GNNs for Recommender Systems.md ├── 14 - Deep Generative Models for Graphs.md ├── 15 - Advanced Topics in Graph Neural Networks.md ├── 16 - Scaling Up GNNs.md ├── 17 - Geometric Graph Learning From Representation to Generation.md ├── 18 - XAI for Graphs.md └── assets ├── Pasted image 20230228014820.png ├── Pasted image 20230228022539.png ├── Pasted image 20230228023123.png ├── Pasted image 20230301161248.png ├── Pasted image 20230301161559.png ├── Pasted image 20230301162842.png ├── Pasted image 20230301162900.png ├── Pasted image 20230301163736.png ├── Pasted image 20230301172116.png ├── Pasted image 20230301183211.png ├── Pasted image 20230301211559.png ├── Pasted image 20230302174058.png ├── Pasted image 20230302174119.png ├── Pasted image 20230302175617.png ├── Pasted image 20230302193604.png ├── Pasted image 20230303211137.png ├── Pasted image 20230305214213.png ├── Pasted image 20230306181816.png ├── Pasted image 20230306182706.png ├── Pasted image 20230306190901.png ├── Pasted image 20230306190914.png ├── Pasted image 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