Stanford CS224W: Machine Learning with Graphs
| Date | Lecture | Contents |
|---|---|---|
| 2022. 07. 11. (월) | 1 | Introduction: Machine Learning for Graphs |
| 2022. 07. 12. (화) | 2 | Traditional Methods for ML on Graphs |
| 2022. 07. 13. (수) | 3 4 Colab 0 |
Node Embeddings Link Analysis: PageRank Colab 0 |
| 2022. 07. 14. (목) | 5 6 7 |
Label Propagation for Node Classification Graph Neural Networks 1: GNN Model Graph Neural Networks 2: Design Space |
| 2022. 07. 15. (금) | 8 9 |
Applications of Graph Neural Networks Theory of Graph Neural Networks |
| 2022. 07. 17. (일) | 10 11 |
Knowledge Graph Embeddings Reasoning over Knowledge Graphs |
| 2022. 07. 18. (월) | 12 13 |
Frequent Subgraph Mining with GNNs Community Structure in Networks |
| 2022. 07. 19. (화) | 14 15 16 |
Traditional Generative Models for Graphs Deep Generative Models for Graphs Advanced Topics on GNNs |
| 2022. 07. 20. (수) | 17 Colab 1 Colab 2 |
Scaling Up GNNs Colab 1 Colab 2 |
| 2022. 07. 21. (목) | Colab 2 Colab 3 |
Colab 2 Colab 3 |
| 2022. 07. 22. (금) | GNN 논문 읽기 | MTGNN - Multivariate Time Series GNN |
| 2022. 07. 23. (토) | Colab 3 | Colab 3 |
| 2022. 07. 24. (일) | Colab 4 Colab 5 |
Colab 4 Colab 5 |
| 2022. 07. 25. (월) | Colab 5 | Colab 5 |
| 2022. 07. 26. (화) | Colab 5 | Colab 5 |
| 2022. 08. 01. (월) | LA Traffic | Predicting LA Traffic with GNN |
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