Comments (1)
Hi @jiangtanzju ,
Thanks for pointing out this. As you said, the double add_edges operations are not needed for those node classification datasets (Edgelist class). Initially we use this to ensure both node classification datasets and graph classification datasets (which are imported from DGL) are undirected. I double-checked after you proposed this issue and it turned out that these redundant operations do affect the results. Specifically, the accuracies on most datasets will be promoted a little bit after removing them properly. We will fix this in a later commit. Thanks for your contribution!
Best,
from gcc.
Related Issues (20)
- it seems dgl-0.4.1 cannot work properly HOT 1
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- Running experiments completely on CPU HOT 1
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- Can't do node_classification tasks on panther datasets HOT 1
- torch.util.data.IterableDataset HOT 1
- About downstream datasets HOT 2
- When I run the algorithm get an error: "OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory" HOT 3
- finetune HOT 2
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- In generating phase, the necessarity of increasing batch size to the length of dataset. HOT 3
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from gcc.