DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Table 3 Average scores for the AUPR, AUC, and ranking position for all comparison methods across all benchmark datasets

Methods	BLM-NII	KronRLS	RLS-WNN	NRLMF	DNILMF	DDR	TriModel	DTiGEMS+
Average AUPR	0.68	0.73	0.76	0.80	0.78	0.87	0.88	0.92
Average AUC	0.92	0.90	0.96	0.95	0.95	0.96	0.98	0.99
Average of the ranking position across all datasets	8	7	6	4	5	3	2	1

We rounded-off all results to two decimal places. The italic font with underline indicates the best result in each category, while the italic font only indicates the second-best result

ISSN: 1758-2946