What is Deep Graph Library (DGL)?

Deep Graph Library (DGL) is a graph learning that a python package for building and training graph neural networks (gnns), supporting pytorch, mxnet, and tensorflow.. You can access it at https://docs.dgl.ai/.

What is Deep Graph Library (DGL) best for?

Deep Graph Library (DGL) is best for graph learning tasks. It's particularly useful for users who need a python package for building and training graph neural networks (gnns), supporting pytorch, mxnet, and tensorflow..

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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

Web

Task

graph learning

Features

• multi-gpu/cpu training

• sparse matrix kernels

• auto-batching

• message passing

• tensorflow support

• mxnet support

• pytorch support

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