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Table 8 Experimental results obtained on each sub-network

From: Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction

Sub-network

Acc.

Sen.

Pre.

AUC

AUPR

PP

0.8348 ± 0.0065

0.7869 ± 0.0094

0.8704 ± 0.0075

0.9047 ± 0.0038

0.9144 ± 0.0041

MiPP

0.8420 ± 0.0022

0.7936 ± 0.0055

0.8786 ± 0.0049

0.9095 ± 0.0020

0.9198 ± 0.0022

LncPP

0.8350 ± 0.0044

0.7865 ± 0.0086

0.8711 ± 0.0081

0.9042 ± 0.0028

0.9143 ± 0.0028

DiPP

0.8352 ± 0.0048

0.7796 ± 0.0064

0.8772 ± 0.0068

0.9053 ± 0.0031

0.9139 ± 0.0032

DrPP

0.8537 ± 0.0034

0.8057 ± 0.0052

0.8913 ± 0.0026

0.9213 ± 0.0039

0.9291 ± 0.0040

All

0.8655 ± 0.0050

0.8249 ± 0.0085

0.8979 ± 0.0088

0.9301 ± 0.0050

0.9308 ± 0.0045

  1. Best results are bolded