Deep Graph Library (DGL)
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About
Deep Graph Library (DGL) is a versatile Python package designed for the efficient implementation of graph neural network models. It simplifies the process of building and training GNNs, leveraging existing deep learning frameworks such as PyTorch, MXNet, and TensorFlow. DGL enhances performance by enabling message passing, optimizing speed through auto-batching, and supporting distributed multi-GPU and CPU training for large-scale graphs containing hundreds of millions of nodes and edges. Users can access detailed documentation, including installation guides, advanced materials, API references, and tutorials to assist in mastering GNN tasks.
Platform
Features
• extensive api reference
• contributions welcome
• versatile message passing
• multi-gpu and cpu training
• auto-batching for speed optimization
• support for multiple deep learning frameworks
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