Graph Clustering On Citeseer
Metrics
ACC
ARI
NMI
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | ACC | ARI | NMI |
|---|---|---|---|
| rethinking-graph-autoencoder-models-for | 68.9 | 43.9 | 42.0 |
| variational-graph-auto-encoders | 40.8 | - | - |
| adversarially-regularized-graph-autoencoder | 54.4 | 24.5 | 26.1 |
| attributed-graph-clustering-via-adaptive | 67.0 | - | 41.13 |
| rwr-gae-random-walk-regularization-for-graph | 61.6 | - | 35.4 |
| gscan-graph-stability-clustering-for | - | 38.2 | 39.9 |
| adversarially-regularized-graph-autoencoder | 57.3 | 34.1 | 0.35 |
| rethinking-graph-autoencoder-models-for | 70.5 | 47.1 | 45.0 |
| rwr-gae-random-walk-regularization-for-graph | 61.3 | - | 33.8 |