Graph Clustering on UE
0.934AccuracyWDK
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| WDKMethod Category=Optimization-free (OpF) methods2026.02 | 0.934 | 0.656 | 0.755 | |
| mWDKMethod Category=Optimization-free (OpF) methods2026.02 | 0.933 | 0.668 | 0.752 | |
| PANEMethod Category=Deep learning and random-walk methods2026.02 | 0.889 | 0.519 | 0.605 | |
| DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 0.88 | 0.475 | 0.577 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 0.879 | 0.485 | 0.574 | |
| MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 0.863 | 0.424 | 0.527 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 0.862 | 0.421 | 0.522 | |
| AGCMethod Category=Optimization-free (OpF) methods2026.02 | 0.859 | 0.42 | 0.515 | |
| WLMethod Category=Optimization-free (OpF) methods2026.02 | 0.852 | 0.418 | 0.494 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 0.851 | 0.403 | 0.493 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 0.844 | 0.376 | 0.473 | |
| GAEMethod Category=Deep learning and random-walk methods2026.02 | 0.822 | 0.328 | 0.413 |