TABLE 5.

Clustering performance of scGAEGAT with and without GAT for Chung data sets.

	Silhouette	DBS	ARI	AMI	NMI	CS	FMS	VMS	HS
Without GAT	0.6574	0.6706	0.5250	0.6670	0.6733	0.5616	0.6577	0.6733	0.8406
1 attention head	0.5950	0.7318	0.5495	0.7005	0.7062	0.5910	0.6772	0.7062	0.8770
3 attention heads	0.6553	0.7125	0.5534	0.7082	0.7137	0.5973	0.6805	0.7137	0.8866
5 attention heads	0.6534	0.7088	0.5468	0.6944	0.7003	0.5859	0.6751	0.7003	0.8701
8 attention heads	0.6735	0.6479	0.5530	0.7024	0.7080	0.5922	0.6803	0.7080	0.8801

The bold values are the best results.