DGL automatically batches deep neural network training on one or many graphs together to achieve max efficiency.
Feedback from community
Brought to you by NYU, NYU-Shanghai, and Amazon AWS.
NYU Professor, Director of Facebook AI Lab
By far the cleanest and most elegant library for graph neural networks in PyTorch. Highly recommended! Unifies Capsule Nets (GNNs on bipartite graphs)
and Transformers (GCNs with attention on fully-connected graphs) in a single API.
Inventor of Graph Convolutional Network
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.