Code reference about graph level tasks for DistDGL

There are tutorials for node level tasks and graph level tasks in the docs, so is there such code available for graph level tasks.

In dist_dataloader.py, there are modules for nodes and links, but no graphs.

It’s possible that graph classification and node classification are more similar, but I don’t know how to implement that.
are there any plans to update the docs?

Are you asking for a distributed example of graph classification? We don’t have one, but I would imagine that distributed graph classification wouldn’t be too different from e.g. distributed image classification, so you could probably use torch.distributed or PyTorch Lightning or Ray on this.

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