On Graph Representation for Attributed Hypergraph Clustering
Summary: AHRC provides cluster-number-free hypergraph representation merging topology with attributes. A multi-hop modularity objective plus sparsification enables scalable, high-quality clustering and boosts SOTA contrastive hypergraph methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zijin Feng (Chinese University of Hong Kong)
- 2. Miao Qiao (University of Auckland)
- 3. Chengzhi Piao (Hong Kong Baptist University)
- 4. Hong Cheng (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{feng_sigmod25,
title = {{On Graph Representation for Attributed Hypergraph Clustering}},
author = {Feng, Zijin and Qiao, Miao and Piao, Chengzhi and Cheng, Hong},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709741},
url = {https://dl.acm.org/doi/10.1145/3709741},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,553 | Categorical Data Clustering via Value Order Estimated Distance Metric Learning | 2026 | SIGMOD | 4.9793485e-05 |
| 11,359 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 375 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.00019628745 |
| 1,835 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 9.5368647e-05 |
| 2,102 | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart | 2017 | SIGMOD | 9.0463758e-05 |
| 5,329 | A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks | 2009 | VLDB | 6.1775042e-05 |
| 5,599 | MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs | 2020 | VLDB | 6.0711441e-05 |
| 8,358 | Demystifying Graph Sparsification Algorithms in Graph Properties Preservation | 2024 | VLDB | 5.3476128e-05 |
| 8,359 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD | 5.3476128e-05 |
| 11,726 | Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation | 2023 | SIGMOD | 4.9793485e-05 |
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|---|---|---|---|---|
| 1 | 2,692 | A Model-based Approach to Attributed Graph Clustering | 2012 | SIGMOD |
| 2 | 9,474 | Accelerating Core Decomposition in Billion-Scale Hypergraphs | 2025 | SIGMOD |
| 3 | 10,261 | Efficient High-Quality Clustering for Large Bipartite Graphs | 2024 | SIGMOD |
| 4 | 10,806 | Efficient Hyper-truss Decomposition over Hypergraphs | 2026 | VLDB |
| 5 | 5,599 | MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs | 2020 | VLDB |
| 6 | 11,446 | Efficient Computation of Hyper-triangles on Hypergraphs | 2025 | VLDB |
| 7 | 375 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB |
| 8 | 11,726 | Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation | 2023 | SIGMOD |
| 9 | 11,359 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB |
| 10 | 8,359 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD |