Post #41

There are two big libraries to build and use GNN: Deep Graph Library (DGL) and PyTorch-Geometric (PTG). I personally used only the latter, because it's been more popular, but it seems DGL is catching up. * DGL is written for PyTorch, but TF is on its way. * DGL 4K github stars vs PTG 6.5K. * DGL has more support from academia and industry (e.g. available on AWS). * DGL is faster (at least in their presentations). There is a nice workshop video from NeurIPS 19 on DGL: https://slideslive.com/38921873/graph-representation-learning-4 There are also overlapping workshop slides from AAAI 20: https://dlg2019.bitbucket.io/aaai20/keynote_slides/George-dgl-aaai2020.pdf