Distributed learning for graph classification?

I know there’s a DataParallel layer in both pytorch & PyG. Is it possible to do sth similar in DGL?
And mini-batch training & neighborhood sampling sounds great. But does it work with graph classification problem?


Do you mean multi-gpu training? If so, you can find a tutorial in this PR.