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. 2023 May 22;14:1205144. doi: 10.3389/fphar.2023.1205144

TABLE 2.

Performance compared with 7 baseline methods.

Methods AURP AUC F1 Acc Rec Spe Pre
BNNR 0.5166 ± 0.008 0.8561 ± 0.002 0.5108 ± 0.001 0.8761 ± 0.036 0.5649 ± 0.002 0.9164 ± 0.000 0.4664 ± 0.001
DDA-SKF 0.2521 ± 0.001 0.7006 ± 0.000 0.3281 ± 0.002 0.7900 ± 0.007 0.4478 ± 0.005 0.8342 ± 0.004 0.2591 ± 0.001
DRHGCN 0.5063 ± 0.002 0.8529 ± 0.004 0.5013 ± 0.000 0.8746 ± 0.001 0.5503 ± 0.022 0.9166 ± 0.006 0.4604 ± 0.002
LAGCN 0.5135 ± 0.000 0.8045 ± 0.002 0.4699 ± 0.005 0.7966 ± 0.000 0.6005 ± 0.008 0.8220 ± 0.052 0.4198 ± 0.002
NIMCGCN 0.2316 ± 0.004 0.6684 ± 0.000 0.2889 ± 0.007 0.7611 ± 0.026 0.4227 ± 0.001 0.8049 ± 0.003 0.2199 ± 0.006
DRWBNCF 0.4552 ± 0.035 0.8375 ± 0.020 0.4739 ± 0.001 0.8646 ± 0.001 0.5321 ± 0.000 0.9076 ± 0.002 0.4280 ± 0.000
REDDA 0.4903 ± 0.000 0.8466 ± 0.016 0.4936 ± 0.045 0.8693 ± 0.004 0.5562 ± 0.003 0.9098 ± 0.000 0.4440 ± 0.002
LBMFF 0.5961 ± 0.001 0.8818 ± 0.003 0.5655 ± 0.001 0.8885 ± 0.001 0.6287 ± 0.005 0.9224 ± 0.000 0.5154 ± 0.031

The best results are in bold faces and the second-best results are underlined.