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Table 4 Results of various methods

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

Methods

Acc.

Sen.

Pre.

AUC

AUPR

LR\(\_\)PPI

0.7717 ± 0.0066

0.7551 ± 0.0090

0.7329 ± 0.0092

0.8482 ± 0.0060

0.8411 ± 0.0058

DPPI

0.8007 ± 0.0087

0.7623 ± 0.0099

0.7677 ± 0.0090

0.8726 ± 0.0076

0.8903 ± 0.0078

WSRC\(\_\)GE

0.8225 ± 0.0105

0.7623 ± 0.0097

0.7987 ± 0.0123

0.9022 ± 0.0089

0.8975 ± 0.0086

LPPI

0.8062 ± 0.0116

0.9275 ± 0.0124

0.7232 ± 0.0103

0.8424 ± 0.0173

0.8022 ± 0.0154

PIPR

0.7536 ± 0.0090

0.7678 ± 0.0100

0.7456 ± 0.0098

0.8331 ± 0.0094

0.8246 ± 0.0096

MTV-PPI

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