Node Clustering on Brain (test)
37.6ACCULSE-n1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ULSE-n1Clustering Method=K-means2025.08 | 37.6 | 29.2 | 16.4 | 38.7 | |
| ULSE-n2Clustering Method=K-means2025.08 | 35.8 | 28.3 | 15.3 | 36.2 | |
| UASEClustering Method=K-means2025.08 | 32.4 | 29.1 | 16.1 | 30.9 | |
| Node2VecClustering Method=K-means2025.08 | 30.3 | 22 | 10.3 | 33.4 | |
| OMNIClustering Method=K-means2025.08 | 24.6 | 19.6 | 8.7 | 20.1 | |
| TGNClustering Method=K-means2025.08 | 22.8 | 15.2 | 6.5 | 21.4 | |
| JODIEClustering Method=K-means2025.08 | 20.5 | 11 | 4.5 | 20 | |
| DyRepClustering Method=K-means2025.08 | 17.9 | 6.5 | 3.1 | 15.9 | |
| DyGFormerClustering Method=K-means2025.08 | 15.7 | 2.8 | 1.2 | 14 | |
| TempCut-SClustering Method=K-means2025.08 | 13.1 | 0.5 | 0.1 | 11.1 | |
| TempCut-NClustering Method=K-means2025.08 | 12.9 | 0.3 | 0 | 11.1 |