Table 2.

AUC values of the proposed and alternate methods for the four DTI datasets. Each experiment was executed 100 times and the average values along with the standard deviations are reported.

Method	NR	IC	GPCR	EZ
CN	0.6967 ± 0.0707	0.9060 ± 0.0135	0.8405 ± 0.0246	0.8842 ± 0.0115
JC	0.6830 ± 0.0658	0.8570 ± 0.0114	0.8348 ± 0.0242	0.8798 ± 0.0112
AA	0.6961 ± 0.0704	0.9132 ± 0.0135	0.8480 ± 0.0255	0.8853 ± 0.0115
RA	0.6961 ± 0.0704	0.9150 ± 0.0134	0.8499 ± 0.0260	0.8857 ± 0.0115
PA	0.4971 ± 0.1092	0.8258 ± 0.0171	0.7186 ± 0.0412	0.7728 ± 0.0184
LCL	0.6970 ± 0.0708	0.9131 ± 0.0130	0.8396 ± 0.0245	0.8850 ± 0.0116
CAR	0.6969 ± 0.0708	0.9117 ± 0.0133	0.8402 ± 0.0245	0.8850 ± 0.0115
CJC	0.6942 ± 0.0696	0.9115 ± 0.0126	0.8428 ± 0.0243	0.8850 ± 0.0115
CAA	0.6973 ± 0.0707	0.9193 ± 0.0132	0.8455 ± 0.0250	0.8861 ± 0.0115
CRA	0.6977 ± 0.0712	0.9233 ± 0.0132	0.8487 ± 0.0255	0.8867 ± 0.0115
CPA	0.6975 ± 0.0711	0.9122 ± 0.0128	0.8392 ± 0.0247	0.8850 ± 0.0115
PRA	0.6984 ± 0.0713	0.9280 ± 0.0135	0.8521 ± 0.0260	0.8872 ± 0.0115

Bold values indicate best performance.