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
- 2. Miao Qiao
- 3. Chengzhi Piao
- 4. Hong Cheng
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,060 | Categorical Data Clustering via Value Order Estimated Distance Metric Learning | 2026 | SIGMOD | 4.1945683e-05 |
| 10,732 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 313 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.00028097557 |
| 1,474 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 0.00011825229 |
| 2,537 | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart | 2017 | SIGMOD | 8.5834428e-05 |
| 3,817 | A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks | 2009 | VLDB | 6.730222e-05 |
| 5,478 | MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs | 2020 | VLDB | 5.4851612e-05 |
| 7,849 | Demystifying Graph Sparsification Algorithms in Graph Properties Preservation | 2024 | VLDB | 4.6362484e-05 |
| 7,850 | Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation | 2023 | SIGMOD | 4.6362484e-05 |
| 11,211 | Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation | 2023 | SIGMOD | 4.1945683e-05 |
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