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英文字典中文字典相关资料:


  • PyG Documentation — pytorch_geometric documentation - Read the Docs
    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 It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning , from a variety of published papers
  • 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 It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers
  • 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
  • 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 It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers
  • Installation — pytorch_geometric documentation - Read the Docs
    From PyG 2 3 onwards, you can install and use PyG without any external library required except for PyTorch For this, simply run:
  • 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
  • gvbazhenov pyg: Graph Neural Network Library for PyTorch - 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 It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning , from a variety of published papers
  • PyG_Introduction. ipynb - Colab - Google Colab
    The core Data class in PyG allows you to represent a single graph with attributes like: x: Node feature matrix of shape [N,F] (optional) edge_index: Connectivity in COO format with shape [2,𝐸],
  • 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





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