I taught my students Deep Graph Library (DGL) in my lecture on "Graph Neural Networks" today. It is a great resource to develop GNNs with PyTorch.

May 26, 2023 · Deglycyrrhizinated licorice (DGL) is a form of licorice that people have altered for safer consumption. Here's what you should know about DGL and acid reflux.

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 computing with …

Aug 18, 2025 · Deep Graph Library (DGL) is a Python package built for the implementation and training of graph neural networks on top of existing DL frameworks. NGC Containers are the …

Sep 3, 2019 · In this paper, we present the design principles and implementation of Deep Graph Library (DGL). DGL distills the computational patterns of GNNs into a few generalized sparse …

Deep Graph Library (DGL) is a Python package built for easy implementation of graph neural network model family, on top of existing DL frameworks (currently supporting PyTorch, MXNet …

" DGL has revolutionized how we approach graph neural networks. Its intuitive API and excellent performance make it our go-to choice for research and production.