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

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

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
  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