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  1. .gitattributes +7 -0
  2. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 10.1-Heterogeneous & Knowledge Graph Embedding [Rfkntma6ZUI].mp4 +2 -2
  3. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 10.3 - Knowledge Graph Completion Algorithms [Xm5VrxZYhu4].mp4 +2 -2
  4. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 12.1-Fast Neural Subgraph Matching & Counting [lRCDpfJoMiE].mp4 +1 -1
  5. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 15.2 - Graph RNN： Generating Realistic Graphs [xGDUYQGvRac].mp4 +2 -2
  6. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 15.4 - Applications of Deep Graph Generation [SdBk8fMmwUU].mp4 +2 -2
  7. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 16.1 - Limitations of Graph Neural Networks [yT5PziOXxQg].mkv +3 -0
  8. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 2.2 - Traditional Feature-based Methods： Link [4dVwlE9jYxY].mp4 +2 -2
  9. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 5.1 - Message passing and Node Classification [6g9vtxUmfwM].mkv +3 -0
  10. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 6.1 - Introduction to Graph Neural Networks [F3PgltDzllc].mp4 +2 -2
  11. MLwG/Stanford CS224W： ML with Graphs ｜ 2021 ｜ Lecture 9.1 - How Expressive are Graph Neural Networks [5vMEgYbka0A].mp4 +2 -2
  12. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 1.2 - Applications of Graph ML [aBHC6xzx9YI].mp4 +1 -1
  13. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 11.1 - Reasoning in Knowledge Graphs [X9yl0pTP9fY].mkv +3 -0
  14. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 13.3 - Louvain Algorithm [0zuiLBOIcsw].mp4 +2 -2
  15. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 14.3 - The Small World Model [ZrDpzzVWwFs].mkv +3 -0
  16. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 14.4 - Kronecker Graph Model [Xnpt8US31cQ].mp4 +2 -2
  17. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 17.2 - GraphSAGE Neighbor Sampling [LLUxwHc7O4A].mkv +3 -0
  18. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 19.2 - Hyperbolic Graph Embeddings [m2zoddmgvd0].mkv +3 -0
  19. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 4.3 - Random Walk with Restarts [HbzQzUaJ_9I].mp4 +2 -2
  20. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 6.2 - Basics of Deep Learning [tutlI9YzJ2g].mkv +3 -0
  21. MLwG/Stanford CS224W： Machine Learning with Graphs ｜ 2021 ｜ Lecture 6.3 - Deep Learning for Graphs [MH4yvtgAR-4].mp4 +2 -2
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