BMC Bioinformatics

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

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