Node Clustering on Synthetic 1 (test)
100AccuracyULSE-n1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ULSE-n1Clustering Method=K-means2025.08 | 100 | 1 | 1 | 100 | |
| UASEClustering Method=K-means2025.08 | 99.7 | 0.984 | 0.99 | 99.7 | |
| ULSE-n2Clustering Method=K-means2025.08 | 99.7 | 0.977 | 0.988 | 99.7 | |
| OMNIClustering Method=K-means2025.08 | 78 | 0.442 | 0.489 | 77.4 | |
| Node2VecClustering Method=K-means2025.08 | 69.5 | 0.269 | 0.313 | 68.8 | |
| TempCut-NClustering Method=K-means2025.08 | 58.7 | 0.078 | 0.074 | 57.8 | |
| TempCut-SClustering Method=K-means2025.08 | 55.7 | 0.051 | 0.039 | 54.3 | |
| JODIEClustering Method=K-means2025.08 | 51.2 | 0.007 | 0.008 | 47.5 | |
| TGNClustering Method=K-means2025.08 | 51 | 0.023 | 0.019 | 49.6 | |
| DyGFormerClustering Method=K-means2025.08 | 50 | 0.011 | 0.008 | 48 | |
| DyRepClustering Method=K-means2025.08 | 49.7 | 0.013 | 0.008 | 46 |