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英文字典中文字典相关资料:


  • 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
  • GitHub Pages - 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-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
  • PyTorch Geometric (PyG) - ALCF User Guides
    PyTorch Geometric (PyG) is a Python library built on top of PyTorch for deep learning on graphs It provides tools for working with graph-structured data and implementations of many Graph Neural Networks (GNNs)
  • 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
  • Installation — pytorch_geometric documentation
    NVIDIA currently recommends the NVIDIA PyG Container on NGC as the most reliable way to use cuGraph integration with PyG For other installation methods, refer to the cuGraph GNN repository and or the RAPIDS installation guide
  • PyG - GitHub
    Graph Neural Network Library for PyTorch PyG has 5 repositories available Follow their code on GitHub
  • 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
  • torch_geometric. nn — pytorch_geometric documentation
    To facilitate further experimentation and unify the concepts of aggregation within GNNs across both MessagePassing and global readouts, we have made the concept of Aggregation a first-class principle in PyG
  • Releases · pyg-team pytorch_geometric - GitHub
    PyG 2 3 is fully compatible with the next generation release of PyTorch, bringing many new innovations and features such as torch compile() and Python 3 11 support to PyG out-of-the-box





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