Graph Clustering on AMAC
54.7ACCmWDK
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| mWDKMethod Category=Optimization-free (OpF) methods2026.02 | 54.7 | 0.481 | 0.393 | |
| MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 53.7 | 0.479 | 0.376 | |
| AGCMethod Category=Optimization-free (OpF) methods2026.02 | 50.2 | 0.455 | 0.251 | |
| WDKMethod Category=Optimization-free (OpF) methods2026.02 | 48.5 | 0.436 | 0.284 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 47.5 | 0.4 | 0.269 | |
| WLMethod Category=Optimization-free (OpF) methods2026.02 | 45.4 | 0.421 | 0.248 | |
| PANEMethod Category=Deep learning and random-walk methods2026.02 | 45.2 | 0.408 | 0.264 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 43.2 | 0.415 | 0.269 | |
| DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 43 | 0.441 | 0.259 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 30.4 | 0.208 | 0.23 | |
| GAEMethod Category=Deep learning and random-walk methods2026.02 | 29.1 | 0.182 | 0.223 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 26.5 | 0.185 | 0.114 |