Table 4.

The performance evaluation results of different methods.

Methods	Accuracy	Precision	Recall	Specificity	F1	MCC
DeepPPI	0.9435	0.9503	0.9527	0.9702	0.9515	0.9436
PIPR	0.9609	0.9617	0.9756	0.9613	0.9609	0.9316
Struct2-Graph	0.9796	0.9830	0.9725	0.9543	0.9777	0.9725
AFTGAN	0.8437	0.8295	0.8338	0.9511	0.8316	0.9582
TAGPPI	0.9781	0.9710	0.9726	0.9811	0.9718	0.9525
MFGAC-PPI	0.9812	0.9916	0.9893	0.9828	0.9904	0.9559

*Best performance is shown in bold.