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Table 5 Summary of AUC-ROC with several PPI predicton methods, including evoKGsim methodology

From: Evolving knowledge graph similarity for supervised learning in complex biomedical domains

Dataset evoKGsim ULCA by [13] ULCA by [11] WULCA by [11] WAA by [11] Best SSM by [17]
STRING-SC 0.89 0.83 0.92 0.95 0.95  
STRING-HS 0.94 0.85 0.90 0.93 0.95  
STRING-EC 0.92 0.93 0.93 0.96 0.96  
STRING-DM 0.98 0.82 0.82 0.86 0.85  
DIP-HS 0.97      0.92
BIND-SC 0.97    0.96 0.94  
DIP/MIPS-SC 0.87    0.93 0.93  
GRID/HPRD-bal-HS 0.74    0.68 0.67  
GRID/HPRD-unbal-HS 0.80    0.83 0.82