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Hi, I find that the node features of the roman-empire dataset have a lot of nan numbers which would cause loss becoming nan in training. Currently, I just replace the nan with 0. Is there any official way to process this kind of nan feature? Thanks!
The text was updated successfully, but these errors were encountered:
Hi, I find that the node features of the roman-empire dataset have a lot of nan numbers which would cause loss becoming nan in training. Currently, I just replace the nan with 0. Is there any official way to process this kind of nan feature? Thanks!
The text was updated successfully, but these errors were encountered: