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In your code, you just check whether the randomly generated negative sampling exists in the training set, therefore, some negative samples may exist in the test set, Is it reasonable to do so?
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I am confused too. I tried to generate training negative samples not exist in the observed data and I found that the performance was much worse than before. Why?
In your code, you just check whether the randomly generated negative sampling exists in the training set, therefore, some negative samples may exist in the test set, Is it reasonable to do so?
The text was updated successfully, but these errors were encountered: