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https://github.com/dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
https://github.com/dsgiitr/graph_nets
chebyshev-polynomials deepwalk graph-attention-networks graph-convolutional-networks graph-embedding graph-representation-learning graph-sage node-embedding pytorch
Last synced: about 2 months ago
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PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
- Host: GitHub
- URL: https://github.com/dsgiitr/graph_nets
- Owner: dsgiitr
- Created: 2019-08-07T11:33:14.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-03-30T19:43:26.000Z (over 1 year ago)
- Last Synced: 2024-06-19T23:58:01.676Z (3 months ago)
- Topics: chebyshev-polynomials, deepwalk, graph-attention-networks, graph-convolutional-networks, graph-embedding, graph-representation-learning, graph-sage, node-embedding, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 11.9 MB
- Stars: 1,108
- Watchers: 37
- Forks: 222
- Open Issues: 3
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Metadata Files:
- Readme: README.md