Table 2.

The comparison between our model and other methods under tenfold cross-validations on the HMDAD database

Method	AUROC	AUPR	F1	Precision	Recall	Accuracy
MVGAEW	0.9798	0.9855	0.9412	0.9524	0.9302	0.9444
GATMDA	0.9398	0.9364	0.8151	0.8672	0.7689	0.8256
RNMFMDA	0.9124	0.2767	0.1297	0.0753	0.4667	0.9732
KATZHMDA	0.8348	0.5910	0.2017	0.1160	0.7733	0.7482
LRLSHMDA	0.8851	0.6080	0.2243	0.1290	0.8600	0.7553
MVGCNMDA	0.9196	0.9237	0.9113	0.9843	0.8484	0.9178
MVFA	0.9718	0.8864	0.8755	0.7961	0.9729	0.8622

The bold values denote the max value in columns