Torch Geometric
원문: torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
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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 c…
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