Graph Classification and Clustering on ER, RP, SBM, RG Distributions

90.4AccuracyDiversity Curves Shortest Path

Evaluation Results

Method
Diversity Curves Shortest Path2026.05	90.4	0.423	0.753	191.237	49.5	31.3
NetLSD2026.05	90	0.055	1.332	38.799	15	9.2
Kernel WL Optimal Assignment2026.05	90	0.019	—	—	—	25.9
Diversity Curves Shortest Path PCA2026.05	89.2	0.432	0.737	194.064	50	32.3
Kernel Core Framework2026.05	84.2	0.249	—	—	—	44.6
Spread Function Shortest Path2026.05	82.9	0.033	3.949	12.517	9.7	9.5
Kernel Core Framework MDS2026.05	82.1	0.266	1.414	91.392	45.9	47.2
Kernel WL Optimal Assignment MDS2026.05	79.6	0.045	3.491	13.624	18.5	20.2
PH Vietoris Rips2026.05	78.3	-0.01	2.227	16.156	8.5	5.3
PH Laplacian2026.05	78.3	-0.132	2.668	11.701	5.5	3.4
Kernel WL MDS2026.05	77.9	0.239	2.531	21.09	42.9	27.3
Kernel Shortest Path2026.05	77.1	0.284	—	—	—	42.6
Kernel Shortest Path MDS2026.05	76.7	0.274	1.597	57.105	44.4	42.3
TopER Degree2026.05	75.8	-0.064	5.288	31.191	8.9	8.9
FEATHER2026.05	75	0.108	1.914	74.719	29.3	27.7
Kernel WL2026.05	74.6	0.213	—	—	—	3.1
TopER Closeness2026.05	74.6	-0.093	8.445	25.482	8.4	7.6
PH Alpha Complex2026.05	74.2	0.014	1.992	43.715	20.2	16
PH Fricci2026.05	74.2	-0.099	2.498	30.874	9	4.3
PH Degree2026.05	72.5	-0.16	3.016	8.58	4	1.8
Spectral Zoo2026.05	72.1	0.05	2.875	33.794	25.7	14
TopER All Filtrations2026.05	70	-0.055	3.255	27.534	10.1	7.3
TopER Popularity2026.05	69.6	-0.022	1.344	29.667	11.3	6.2
PH Olricci2026.05	69.6	-0.125	2.945	34.161	9.2	6
Kernel Pyramid Match2026.05	67.1	0.002	—	—	—	1.7
TopER Forricci2026.05	64.6	-0.067	2.95	31.45	11.2	11.2
TopER Olricci2026.05	59.2	-0.099	10.2	13.468	5.9	4.3
Kernel Pyramid Match MDS2026.05	58.8	-0.009	7.657	7.242	6.5	4.5
Graph2Vec2026.05	50.4	-0.005	7.365	1.405	2.3	0.2
Kernel Neighbourhood Hash2026.05	50	-0.032	—	—	—	0.2
Kernel Neighbourhood Hash MDS2026.05	42.1	-0.066	20.29	0.683	-0.7	-0.3