pyGAT
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data split issue
Hello, thanks for sharing your work. In your implementation, I noticed that you split the dataset as "train:range(140), val:range(200, 500), test:range(500, 1500)", I want to know why you split dataset like this? Is this a good split for evaluating model performance?
It seems the same question with https://github.com/Diego999/pyGAT/issues/4#issue-343470929
Same question. The official paper uses 500 validation data while the pyGAT uses 300. It is inconsistent.