torch-geometric-graph-neural-networks
From the author
PyTorch Geometric (PyG) for graph neural networks: node/graph classification, link prediction with GCN, GAT, GraphSAGE, GIN. Message passing, mini-batches, heterogeneous graphs, neighbor sampling, explainability. Supports molecules (QM9, MoleculeNet), social/knowledge graphs, 3D point clouds. For non-graph DL use PyTorch; for classical graph algorithms use NetworkX.
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npx skills add jaechang-hits/SciAgent-Skills --skill torch-geometric-graph-neural-networks -a claude-code
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