Node Clustering on School (test)
0.997ACCULSE-n2
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ULSE-n2Clustering Method=K-means2025.08 | 0.997 | 0.994 | 0.993 | 0.997 | |
| ULSE-n1Clustering Method=K-means2025.08 | 0.994 | 0.987 | 0.985 | 0.994 | |
| Node2VecClustering Method=K-means2025.08 | 0.978 | 0.965 | 0.954 | 0.977 | |
| UASEClustering Method=K-means2025.08 | 0.853 | 0.813 | 0.655 | 0.867 | |
| OMNIClustering Method=K-means2025.08 | 0.411 | 0.472 | 0.25 | 0.36 | |
| TGNClustering Method=K-means2025.08 | 0.216 | 0.108 | 0.024 | 0.202 | |
| TempCut-SClustering Method=K-means2025.08 | 0.204 | 0.066 | 0.01 | 0.194 | |
| TempCut-NClustering Method=K-means2025.08 | 0.201 | 0.066 | 0.011 | 0.188 | |
| JODIEClustering Method=K-means2025.08 | 0.194 | 0.089 | 0.028 | 0.148 | |
| DyRepClustering Method=K-means2025.08 | 0.194 | 0.085 | 0.02 | 0.154 | |
| DyGFormerClustering Method=K-means2025.08 | 0.176 | 0.056 | 0.006 | 0.109 |