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  • PyG Documentation — pytorch_geometric documentation
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data
  • Home - PyG
    What is PyG? PyG is a library built upon PyTorch to easily write and train Graph Neural Networks for a wide range of applications related to structured data PyG is both friendly to machine learning researchers and first-time users of machine learning toolkits
  • PyG - GitHub
    Graph Neural Network Library for PyTorch PyG has 5 repositories available Follow their code on GitHub
  • Installation — pytorch_geometric documentation
    For earlier PyTorch versions (torch<=2 5 0), you can install PyG via Anaconda for all major OS, and CUDA combinations If you have not yet installed PyTorch, install it via conda install as described in its official documentation
  • PyG 2. 0: Scalable Learning on Real World Graphs
    In this paper, we present Pyg 2 0 (and its subsequent minor versions), a comprehensive update that introduces substantial improvements in scalability and real-world application capabilities
  • torch-geometric · PyPI
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data
  • Community - PyG
    GraphGym is a platform for designing and evaluating Graph Neural Networks (GNNs), as originally proposed in the “Design Space for Graph Neural Networks” paper We now officially support GraphGym as part of of PyG
  • pyg-team pytorch_geometric - GitHub
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data
  • Introduction by Example — pytorch_geometric documentation
    We shortly introduce the fundamental concepts of PyG through self-contained examples For an introduction to Graph Machine Learning, we refer the interested reader to the Stanford CS224W: Machine Learning with Graphs lectures





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