Table 6.

The comparison of HeSiaNet as the heterogeneous-SNN and Hom-SNN as the homogeneous-SNN models

Model	AUC-ROC (%)	AUC-PR (%)	ACC (%)	BS (%)	MCC (%)	F1-score (%)
HeSiaNet	$84.2\pm 0.29$	$91.08\pm 0.04$	$90.35\pm 0.13$	$11.99\pm 0.05$	$68.51\pm 1.22$	$82.31\pm 0.03$
Hom- SNN	$81.56\pm 0.34$	$85.68\pm 0.91$	$81.58\pm 0.30$	$12.48\pm 0.83$	$64.38\pm 2.25$	$78.46\pm 1.09$