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Reference RGCN implementation for multi-gpu training
Hi, Is there any reference implementation of RGCN on knowledge graphs for multi-gpu training in DGL-KE? Alternatively, in DGL, I can see some reference RGCN implementation for link prediction task, but I think that is not multi-gpu (may I confirm if that is correct?). Do you have some suggestions on how I can run RGCN on a multi-gpu setting? Thanks for some pointers on this issue!
We don't have RGCN implementation in DGL-KE right now. We have one multi-GPU version in DGL: https://github.com/dmlc/dgl/blob/master/examples/pytorch/rgcn/entity_classify_mp.py. We'll have a distributed implementation very soon.