Paper | Code | ACC | NMI | ARI | F1 | Precision | F score | ModelName | ReleaseDate |
---|---|---|---|---|---|---|---|---|---|
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering | ✓ Link | 70.5 | 45.0 | 47.1 | R-DGAE | 2021-07-19 | |||
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering | ✓ Link | 68.9 | 42.0 | 43.9 | R-GMM-VGAE | 2021-07-19 | |||
Attributed Graph Clustering via Adaptive Graph Convolution | ✓ Link | 67.0 | 41.13 | AGC | 2019-06-04 | ||||
RWR-GAE: Random Walk Regularization for Graph Auto Encoders | ✓ Link | 61.6 | 35.4 | RWR-GAE | 2019-08-12 | ||||
RWR-GAE: Random Walk Regularization for Graph Auto Encoders | ✓ Link | 61.3 | 33.8 | RWR-VGAE | 2019-08-12 | ||||
Adversarially Regularized Graph Autoencoder for Graph Embedding | ✓ Link | 57.3 | 0.35 | 34.1 | 54.6 | 57.3 | ARGE | 2018-02-13 | |
Adversarially Regularized Graph Autoencoder for Graph Embedding | ✓ Link | 54.4 | 26.1 | 24.5 | 52.9 | 54.9 | ARVGE | 2018-02-13 | |
Variational Graph Auto-Encoders | ✓ Link | 40.8 | GAE | 2016-11-21 | |||||
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass | ✓ Link | 39.9 | 38.2 | 64.7 | 64.7 | DAEGC+GSCAN† | 2024-04-17 |