graph-neural-nets

Graph neural networks tutorial in pytorch

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.gitignore		.gitignore
01 Graph Convolution.ipynb		01 Graph Convolution.ipynb
02 Graph Attention.ipynb		02 Graph Attention.ipynb
03 Shallow embeddings.ipynb		03 Shallow embeddings.ipynb
04 Shallow with pyG.ipynb		04 Shallow with pyG.ipynb
05 GraphAE.ipynb		05 GraphAE.ipynb
06 GraphVAE.ipynb		06 GraphVAE.ipynb
07 Node2Vec.ipynb		07 Node2Vec.ipynb
08 Graph classification.ipynb		08 Graph classification.ipynb
09 GraphSage sampling.ipynb		09 GraphSage sampling.ipynb
10 ClusterGCN.ipynb		10 ClusterGCN.ipynb
11 GraphSaint.ipynb		11 GraphSaint.ipynb
README.md		README.md

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