SBM
Benchmarks
TaskDatasetSOTA resultTrendResults
SBM
0.975VUN
51
SBM
67.53Dice
20
SBM
11.5Degree
18
SBM 10k (test)
97.53Mean Expansion Reduction
15
SBM uni. xi in [0.4, 0.6], n = 5000
0.52Clustering Error (CE)
12
SBM uni. xi in [0, 0.2], n = 5000
0.52Clustering Error (CE)
12
SBM uni. xi in [0.4, 0.6], n = 1000
0.51Cross-Entropy
12
SBM uni. xi in [0, 0.2], n = 1000
0.52Clustering Error (CE)
12
SBM
0.059Clustering Coefficient
10
SBM 10K (undirected)
97Mean Expansion Reduction
9
SBM20k
154.16Degree
9
SBM Dynamic
0Mean Error
8
SBM Static
0.004Mean Error
8
SBM (k=3, n=3000, q=0.002) (test)
0Error Rate
8
SBM synthetic (test)
0.965Average MAP
8
SBM
1.5Ratio
7
SBM 85/15 stratified Synthetic (train test)
92.26Accuracy
7
SBM
19.89mAP
7
SBM hetero.
86.5Accuracy (Clean)
6
SBM Br: Bridge-Only
100Clustering Accuracy
3
SBM Uneq: Unequal-Sizes
98Clustering Accuracy
3
SBM LS: Large-Sparse
82Clustering Accuracy
3
SBM SD: Small-Dense
74Clustering Accuracy
3
SBM Plt: Planted-Clique
96Clustering Accuracy
3
SBM +N: Cliques+Noise
84Clustering Accuracy
3