概要
PyTorch Geometric (PyG) is a specialized library built on PyTorch designed to facilitate deep learning on graphs, point clouds, and manifolds. This skill provides Claude with the domain-specific knowledge required to implement state-of-the-art GNN architectures such as GCN, GAT, and GraphSAGE. It includes patterns for efficient mini-batch processing, handling heterogeneous graphs, and performing complex tasks like node classification, link prediction, and molecular property prediction. It is an essential tool for data scientists and ML engineers working on social network analysis, drug discovery, or recommendation systems.
