ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network

Table 3 Performance comparison between ETGPDA and removing attention mechanism

Testing set	AUC↑	Accuracy↑	Recall↑	Specificity↑
With Attention Mechanism	0.9603	0.9551	0.8636	0.9565
Without Attention Mechanism	0.9506	0.9450	0.8308	0.9464

ISSN: 1471-2164