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?
Thanks.
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?
Thanks.
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