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                                            trantorrepository

Loss get larger when lr decrease to 0.0001 or small, and it is obvious when the lr change

make gcn-v to very large scale dataset

hi, Lei Yang, in your paper, you write "Empirically, a 1-layer GCN takes 37G CPU Ram and 92s with 16 CPU on a graph with 5.2M vertices for inference", how...

trantorrepository

Loss get larger when lr decrease to 0.0001 or small, and it is obvious when the lr change

make gcn-v to very large scale dataset

how long does the training cost?

好久没更新了，还维护吗