GitHub - MartinLwx/CS224W-Fall-2021-Stanford: The solutions for the CS224W: Machine Learning with Graphs in Stanford 🍇

Hi 👋

This is my learning record for the Machine Learning with Graphs in Stanford.

Message passing in GraphML. I think it is the most important conception in GNN. The ppts are very intuitive and concise which are quite worth reading
PyG. In the Colabs, we will use this package quite often, not only at high-level but also at low-level. To finish the Colabs, you usually need to check the docs, which make you familiar with PyG
GCN/GAT/GraphSAGE We will implement these models in the Colabs
PageRank, Knowledge graph, etc. This course covers many topics in GNN.

🤗 Welcome to check my repo cs-courses.

Join me and enjoy the journey 🚀

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
data		data
imgs		imgs
.gitignore		.gitignore
CS224W_Colab_0.ipynb		CS224W_Colab_0.ipynb
CS224W_Colab_1.ipynb		CS224W_Colab_1.ipynb
CS224W_Colab_2.ipynb		CS224W_Colab_2.ipynb
CS224W_Colab_3.ipynb		CS224W_Colab_3.ipynb
CS224W_Colab_4.ipynb		CS224W_Colab_4.ipynb
CS224W_Colab_5.ipynb		CS224W_Colab_5.ipynb
README.md		README.md