Graphs are everywhere. They can represent social networks, molecules, or connections between websites. PyTorch Geometric is a library that helps you build graph neural networks using PyTorch.
With this skill you can do node classification, link classification, and graph classification. It includes many ready to use message passing layers like GCN and GAT.
The skill also supports heterogeneous graphs and custom datasets. You can train models on large graphs using neighbor sampling. It works with standard PyTorch tools.
Global
mkdir -p ~/.claude/skills/torch-geometricProject
mkdir -p .claude/skills/torch-geometricSource Repository
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