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Table 3 AUC of GDCL-NcDA and seven comparison methods under the 10CV

From: GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization

Methods

miRNA

circRNA

lncRNA

MDA-SKF

0.9291

0.9821

0.9375

NIMCGCN

0.9187

0.9169

0.8992

MMGCN

0.9097

0.9595

0.8990

DMFCDA

0.8726

0.8567

0.8163

DMFMSF

0.9265

0.8245

0.8743

CKA-HGRTMF

0.9274

0.9173

0.9226

MHDMF

0.9611

0.9087

0.9339

GDCL-NcDA

0.9807

0.9823

0.9436

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BMC Genomics

ISSN: 1471-2164

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