Deep Graph Library (DGL)
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About
Deep Graph Library (DGL) is a Python package for implementing graph neural network models. It supports PyTorch, MXNet, and TensorFlow, offering control over message passing, speed optimization, and multi-GPU/CPU training for large graphs. DGL provides tutorials, a user guide, and comprehensive API documentation to aid users of all levels, from beginners to advanced users needing to implement stochastic training or distributed training of GNNs.
Platform
Task
Features
• multi-gpu/cpu training
• sparse matrix kernels
• auto-batching
• message passing
• tensorflow support
• mxnet support
• pytorch support
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