Node Clustering on Stock (test)
45.3AccuracyULSE-n1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ULSE-n1Clustering Method=K-means2025.08 | 45.3 | 38.5 | 18.5 | 47.7 | |
| ULSE-n2Clustering Method=K-means2025.08 | 41 | 33.7 | 15.4 | 43 | |
| UASEClustering Method=K-means2025.08 | 38.9 | 30 | 15.5 | 41.2 | |
| Node2VecClustering Method=K-means2025.08 | 24.7 | 18.5 | 6.5 | 28.1 | |
| OMNIClustering Method=K-means2025.08 | 22.5 | 12.5 | 3.8 | 17.7 | |
| DyRepClustering Method=K-means2025.08 | 21.3 | 10.9 | 2.8 | 18 | |
| TGNClustering Method=K-means2025.08 | 19.2 | 10.6 | 2.2 | 17.5 | |
| JODIEClustering Method=K-means2025.08 | 17.3 | 6 | 0.2 | 15.9 | |
| TempCut-NClustering Method=K-means2025.08 | 17 | 6.9 | 0.6 | 15.6 | |
| TempCut-SClustering Method=K-means2025.08 | 16.8 | 5.9 | 0.2 | 14.9 | |
| DyGFormerClustering Method=K-means2025.08 | 15.6 | 0 | 0 | 3.6 |