dmlc/dgl
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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dmlc
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Apr 20, 2018
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DGL (Deep Graph Library) is a Python package designed to simplify deep learning on graphs by providing a unified framework that works with existing deep learning frameworks like PyTorch and TensorFlow. It offers efficient graph neural network implementations with GPU acceleration and scalable training capabilities for large-scale graph data. The library provides high-level APIs for common graph learning tasks while maintaining flexibility for custom model development.
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Updated 8 months ago
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- Project created
- Apr 20, 2018
- Forked
- Mar 22, 2026
- Your last push
- 8 months ago
- Upstream last push
- 8 months ago
- Tracked since
- Jul 31, 2025
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