A Model-based Approach to Attributed Graph Clustering
Summary: Model-based Bayesian framework for attributed graph clustering, unifying structure and attributes without ad hoc distance design. Efficient variational inference scales to large graphs and yields superior clustering, beating state-of-the-art distance-based methods on real networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhiqiang Xu (Nanyang Technological University)
- 2. Yiping Ke (Institute of High Performance Computing)
- 3. Yi Wang (National University of Singapore)
- 4. Hong Cheng (Chinese University of Hong Kong)
- 5. James Cheng (Nanyang Technological University)
BibTeX Citation
@inproceedings{xu_sigmod12,
title = {{A Model-based Approach to Attributed Graph Clustering}},
author = {Xu, Zhiqiang and Ke, Yiping and Wang, Yi and Cheng, Hong and Cheng, James},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213894},
url = {https://dl.acm.org/doi/10.1145/2213836.2213894},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014671367 |
| 3,863 | When Engagement Meets Similarity: Efficient (k,r)-Core Computation on Social Networks | 2017 | VLDB | 6.9488207e-05 |
| 5,615 | MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs | 2020 | VLDB | 6.0482113e-05 |
| 7,081 | C-Explorer: Browsing Communities in Large Graphs | 2017 | VLDB | 5.5894444e-05 |
| 7,165 | Topic-based Community Search over Spatial-Social Networks | 2020 | VLDB | 5.5797415e-05 |
| 8,378 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD | 5.3274071e-05 |
| 9,291 | Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media | 2014 | SIGMOD | 5.1860131e-05 |
| 10,148 | Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation | 2023 | SIGMOD | 5.0597449e-05 |
| 11,889 | The Gibbs–Rand Model | 2022 | PODS | 4.9605343e-05 |
| 12,367 | From Community Detection to Community Profiling | 2017 | VLDB | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 373 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.00019709993 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,097 | On Graph Representation for Attributed Hypergraph Clustering | 2025 | SIGMOD |
| 2 | 1,234 | Attribute-Driven Community Search | 2017 | VLDB |
| 3 | 13,626 | Effective Clustering for Large Multi-Relational Graphs | 2026 | SIGMOD |
| 4 | 10,142 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB |
| 5 | 3,128 | Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes | 2012 | VLDB |
| 6 | 9,247 | Inductive Attributed Community Search: to Learn Communities across Graphs | 2024 | VLDB |
| 7 | 8,378 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD |
| 8 | 2,941 | Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed | 2022 | VLDB |
| 9 | 7,629 | Mining Attribute-structure Correlated Patterns in Large Attributed Graphs | 2012 | VLDB |
| 10 | 373 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB |