| Paper | Code | ACC | NMI | ARI | F1 | Precision | F score | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|---|---|
| Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering | ✓ Link | 76.7 | 57.3 | 57.9 | R-GMM-VGAE | 2021-07-19 | |||
| Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering | ✓ Link | 73.7 | 56.0 | 54.1 | R-DGAE | 2021-07-19 | |||
| Attributed Graph Clustering via Adaptive Graph Convolution | ✓ Link | 68.92 | 53.68 | AGC | 2019-06-04 | ||||
| RWR-GAE: Random Walk Regularization for Graph Auto Encoders | ✓ Link | 68.5 | 45.5 | RWR-VGAE | 2019-08-12 | ||||
| RWR-GAE: Random Walk Regularization for Graph Auto Encoders | ✓ Link | 66.9 | 48.1 | RWR-GAE | 2019-08-12 | ||||
| Adversarially Regularized Graph Autoencoder for Graph Embedding | ✓ Link | 64 | 0.449 | 35.2 | 61.9 | 64.6 | ARGE | 2018-02-13 | |
| Adversarially Regularized Graph Autoencoder for Graph Embedding | ✓ Link | 63.8 | 45 | 37.4 | 62.7 | 62.4 | ARVGE | 2018-02-13 | |
| Variational Graph Auto-Encoders | ✓ Link | 59.6 | GAE | 2016-11-21 | |||||
| GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass | ✓ Link | 52.4 | 49.6 | 71.7 | 71.7 | DAEGC+GSCAN† | 2024-04-17 |