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In the paper "Subgraph Neural Networks", it is said that the micro-F1 score for each dataset is the average of 10 runs with random seeds. I was wondering if for each seed, a different dataset split is created. As per my understanding of the code, a single dataset split is used across all seeds. Could you confirm if my assumption is right ?
Thanks in advance,
Shweta Ann Jacob
The text was updated successfully, but these errors were encountered:
Hi,
In the paper "Subgraph Neural Networks", it is said that the micro-F1 score for each dataset is the average of 10 runs with random seeds. I was wondering if for each seed, a different dataset split is created. As per my understanding of the code, a single dataset split is used across all seeds. Could you confirm if my assumption is right ?
Thanks in advance,
Shweta Ann Jacob
The text was updated successfully, but these errors were encountered: