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
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