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12 lines
740 B
Text
12 lines
740 B
Text
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and
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train Graph Neural Networks (GNNs) for a wide range of applications related
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to structured data.
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It consists of various methods for deep learning on graphs and other irregular
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structures, also known as geometric deep learning, from a variety of published
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papers. In addition, it consists of easy-to-use mini-batch loaders for
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operating on many small and single giant graphs, multi GPU-support,
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torch.compile support, DataPipe support, a large number of common benchmark
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datasets (based on simple interfaces to create your own), the GraphGym
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experiment manager, and helpful transforms, both for learning on arbitrary
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graphs as well as on 3D meshes or point clouds.
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