dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
About this project
Website A Blitz Introduction to DGL Documentation (Latest Official Examples Discussion Forum Slack Channel DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apache MXNet or TensorFlow. Figure : DGL Overall Architecture Highlighted Features A GPU-ready graph library DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for better control. We provide a variety of functions for…
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