PyTorch Geometric (PyG) is a library built upon PyTorch to facilitate the development of Graph Neural Networks (GNNs). It provides various methods for deep learning on graph structured data, including data handling, mini-batching, GNN layers, and training routines. PyG is commonly used for tasks like node classification, graph classification, and link prediction in domains such as social networks, molecular biology, and recommender systems.
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