Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

摘要

Performance 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 methods