Graph Clustering On Pubmed
Métriques
ACC
NMI
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | ACC | NMI |
|---|---|---|
| rwr-gae-random-walk-regularization-for-graph | 72.6 | 35.5 |
| variational-graph-auto-encoders | 65.48 | - |
| gscan-graph-stability-clustering-for | - | 31.7 |
| rwr-gae-random-walk-regularization-for-graph | 73.6 | 34.6 |
| rethinking-graph-autoencoder-models-for | 74.0 | 33.4 |
| rethinking-graph-autoencoder-models-for | 71.4 | 34.4 |
| attributed-graph-clustering-via-adaptive | 69.78 | 31.59 |