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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

DatasetevoKGsimULCA by [13]ULCA by [11]WULCA by [11]WAA by [11]Best SSM by [17]
STRING-SC0.890.830.920.950.95 
STRING-HS0.940.850.900.930.95 
STRING-EC0.920.930.930.960.96 
STRING-DM0.980.820.820.860.85 
DIP-HS0.97    0.92
BIND-SC0.97  0.960.94 
DIP/MIPS-SC0.87  0.930.93 
GRID/HPRD-bal-HS0.74  0.680.67 
GRID/HPRD-unbal-HS0.80  0.830.82