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About Random Seeds #147
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I am not exactly sure about the described scenario, but we are supposed to use the same data split before and after attack. This ensures that the attacker uses the correct supervision to learn the perturbation. Otherwise, the attack is very likely to degrade the model performance. |
感谢你的回复,我发现这个错误发生在使用nettack划分的时候,但是prognn划分不会出现这个问题 |
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Why do I get different results when I set random seeds before and after the dataset? Taking the GCN model as an example, using the CORA dataset after meta attack (ptd_rate=0.05), the model's performance differs greatly when I set random seeds before and after the dataset.
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