Table 13 Comparison of results for different models in miRNA-disease association prediction.

From: Predicting noncoding RNA and disease associations using multigraph contrastive learning

 

Accuracy

Precision

Recall

F1-score

AUC

K-MGCMLD

0.8858

0.8655

0.9137

0.8889

0.9542

AGAEMD

0.8389

0.8082

0.8886

0.8465

0.9163

GAEMDA

0.8497

0.8234

0.8886

0.8465

0.9311

SMALF

0.8808

0.8606

0.8931

0.8868

0.9503

GCLMTP

0.8797

0.8610

0.9057

0.8827

0.9509

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