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PyG Documentation — pytorch_geometric documentation
https://pytorch-geometric.readthedocs.io/en/latest/
WEBPyG (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.
DA: 59 PA: 11 MOZ Rank: 67
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pyg-team/pytorch_geometric - GitHub
https://github.com/pyg-team/pytorch_geometric
WEBPyG (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.
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Installation — pytorch_geometric documentation - Read the Docs
https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
WEBYou can now install PyG via Anaconda for all major OS, PyTorch and CUDA combinations 🤗. If you have not yet installed PyTorch, install it via conda install as described in its official documentation . Given that you have PyTorch installed ( >=1.11.0 ), simply run. conda install pyg -c pyg.
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Introduction by Example — pytorch_geometric documentation
https://pytorch-geometric.readthedocs.io/en/latest/get_started/introduction.html
WEBPyTorch and torchvision define an example as a tuple of an image and a target. We omit this notation in PyG to allow for various data structures in a clean and understandable way. We show a simple example of an unweighted and …
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Releases · pyg-team/pytorch_geometric · GitHub
https://github.com/pyg-team/pytorch_geometric/releases
WEBYou can still install PyG 2.5 with an older PyTorch release up to PyTorch 1.12 in case you are not eager to update your PyTorch version. Native torch.compile(...) and TorchScript Support. torch-geometric==2.5.0 introduces a full re-implementation of the MessagePassing interface, which makes it natively applicable to both torch.compile and ...
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Fast Graph Representation Learning with PyTorch Geometric
https://arxiv.org/abs/1903.02428
WEBMar 6, 2019 · Fast Graph Representation Learning with PyTorch Geometric. Matthias Fey, Jan Eric Lenssen. We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point …
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Home - PyG
https://www.pyg.org/
WEBPyG 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.
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A Beginner’s Guide to Graph Neural Networks Using PyTorch Geometric
https://towardsdatascience.com/a-beginners-guide-to-graph-neural-networks-using-pytorch-geometric-part-1-d98dc93e7742
WEBAug 10, 2021 · PyTorch Geometric is a geometric deep learning library built on top of PyTorch. Several popular graph neural network methods have been implemented using PyG and you can play around with the code using built …
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PyTorch Geometric - Kumo
https://kumo.ai/resources/pyg
WEBPyTorch Geometric, built by the core members of the Kumo team, is the leading open source framework for building and training Graph Neural Networks. PyG is built for the academic and research communities, offering a toolbox of application-specific libraries that make it easy to build new, custom algorithms or architectures for tackling any ...
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torch-geometric · PyPI
https://pypi.org/project/torch-geometric/
WEB5 days ago · 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.
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