Table 2.

Difference scores on performance metrics between vanilla and augmented models for KIBA dataset. The values in the table reflect for different performance measures. To calculate average values, we used min–max normalized of the difference scores to avoid the dependence on the choice of measurement units

	Difference scores
Methods	CI	MSE		AUPC
String representation-based approaches
DeepDTA	0.018	0.043	0.105	0.042
WideDTA	0.005	0.009	0.089	0.033
AttentionDTA	-0.008	0.01	0.042	0.001
Graph representation-based approaches
GraphDTA-GAT	0.037	0.032	0.049	0.02
GraphDTA-GIN	0.028	0.021	0.064	0.028
DGraphDTA	0.008	0.007	0.013	0.013
DeepGS	0.048	0.166	0.112	0.052
Min	–0.008	0.007	0.013	0.001
Max	0.048	0.166	0.112	0.052
Normalized average	0.022	0.215	0.553	0.510