Closed Bitliuliu closed 4 years ago
Hey! DGL framework supports message passing which allows us to aggregate neighbor representations and do convolution easily. Our input graphs are in networkx format, but you can of course directly load your graphs into DGLGraph objects!
Thank you for your reply. My recent project involves the joint training of PYG graph neural network and lstm network. I do n’t know if I can discuss it with you.
Hey sorry I missed this one, you can shoot me an email if it's still relevant!
I'm curious why networkx is already used and dgl is added