Table 2.

Clustering results of STMVGAE and baseline methods on all datasets. The best results are in bold black.

Methods	DLPFC				BCDC				Melanoma				BRCA
	ARI	NMI	HS	Purity	ARI	NMI	HS	Purity	ARI	NMI	HS	Purity	ARI	NMI	HS	Purity
stLearn [14]	0.356	0.526	0.533	0.646	0.501	0.456	0.425	0.855	-	-	-	-	0.588	0.653	0.643	0.646
SEDR [19]	0.499	0.643	0.631	0.725	0.187	0.077	0.083	0.799	0.281	0.389	0.418	0.754	0.485	0.660	0.644	0.566
SpaGCN [17]	0.411	0.543	0.520	0.614	0.334	0.378	0.348	0.789	0.415	0.447	0.423	0.694	0.441	0.626	0.619	0.552
DeepST [20]	0.476	0.620	0.606	0.689	0.459	0.389	0.354	0.838	-	-	-	-	0.546	0.680	0.663	0.642
STAGATE [18]	0.501	0.645	0.624	0.727	0.442	0.337	0.319	0.836	0.410	0.438	0.418	0.719	0.460	0.688	0.666	0.561
STAMARKER [23]	0.527	0.662	0.640	0.735	0.450	0.358	0.337	0.838	0.429	0.442	0.427	0.740	0.461	0.689	0.667	0.562
STMVGAE(ours)	0.562	0.638	0.648	0.789	0.730	0.584	0.583	0.931	0.480	0.468	0.480	0.804	0.660	0.699	0.689	0.678