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Table 3 Performance comparison between our proposed method and six baselines under 5-CV settings

From: Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

Models

AUC

AUPR

NAGTLDA

0.9531

0.9537

HGATLDA

0.9421

0.9487

CNNLDA

0.9402

0.9433

SFGAE

0.9321

0.9183

VGAELDA

0.9195

0.9347

LAGCN

0.9099

0.8891

LDA-LNSUBRW

0.8750

0.8868

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BMC Genomics

ISSN: 1471-2164

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