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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.

skills/torch_geometric/SKILL.md

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# PyTorch Geometric (PyG)

## 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.

## When to Use This Skill

This skill should be used when working with:
- **Graph-based machine learning**: Node classification, graph classification, link prediction
- **Molecular property prediction**: Drug discovery, chemical property prediction
- **Social network analysis**: Community detection, influence prediction
- **Citation networks**: Paper classification, recommendation systems
- **3D geometric data**: Point clouds, meshes, molecular structures