Graph Neural Network Library for PyTorch
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The pyg-team organization on GitHub focuses on developing a Graph Neural Network Library for PyTorch, showcasing expertise in Python, C++, and CSS. Key repositories include pytorch_geometric, a widely used library for graph neural networks, and pytorch-frame, which supports tabular deep learning applications.
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Public repositories
pytorch_geometric
Graph Neural Network Library for PyTorch
pytorch-frame
Tabular Deep Learning Library for PyTorch
pyg-lib
Low-Level Graph Neural Network Operators for PyG
smore
No description provided for this repository.
pyg_sphinx_theme
PyG Sphinx Theme
Frequently asked questions
What does pyg-team build on GitHub?
Pyg-team builds a variety of projects centered around graph neural networks, primarily using PyTorch. Their notable repositories include pytorch_geometric and pytorch-frame, which cater to different aspects of deep learning.
Which programming languages does pyg-team use?
The pyg-team utilizes several programming languages in their repositories, with a primary focus on Python and C++. They also incorporate CSS for specific projects, reflecting a diverse skill set in software development.
Are pyg-team's repositories public?
Yes, pyg-team's repositories are public on GitHub. This transparency allows users and developers to access and contribute to their projects, fostering collaboration within the graph neural network community.
Is this exposure intended?
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