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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)

Paper ID
7080
Venue
SIGMOD
Year
2025
Pagerank
5.3113542e-05
Overall Rank
5,827 | 59.47%
DOI
10.1145/3709741

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