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torch-geometric

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Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

bundled/skills/torch-geometric/SKILL.md

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# PyTorch Geometric (PyG)

## Routing Boundary

Use this skill only for PyTorch Geometric, torch_geometric, PyG, graph neural networks, GCN/GAT, graph classification, node classification, link prediction, and heterogeneous graph learning. Do not use it for generic neural networks, CNN/image classification, graph visualization, or molecule-only tasks unless PyG or graph neural network modeling is explicit.

## Overview

PyTorch Geometric is a library built on PyTorch for developing and training Graph Neural Networks (GNNs). Apply this skill for deep learning on graphs and irregular structures, including mini-batch processing, multi-GPU training, and geometric deep learning applications.

## Naming Compatibility

Use `torch-geometric` as the canonical skill ID. Treat `torch_geometric`,
`PyG`, and `pytorch geometric` as API or keyword spellings that route to this
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