Fig. 1From: Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding modelPerformance comparisons of M2GMDA, IMCMDA, ICFMDA, RLSMDA, WBSMDA, and KATZBNRA in global LOOCV. As we can see M2GMDA achieved AUC of 0.9323, which was higher than the other five methodsBack to article page