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Efficient Computation of Hyper-triangles on Hypergraphs

Summary: Introduce hyperwedge-based formation pathway and classification of hyper-triangle patterns to avoid exhaustive hyperedge-combination checks. Present a two-step framework with pattern-specific exact and approximate counting algorithms and a fine-grained hypergraph clustering coefficient. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14420
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,094 | 23.89%
DOI
10.14778/3712221.3712238

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{yin_vldb25,
        title = {{Efficient Computation of Hyper-triangles on Hypergraphs}},
        author = {Yin, Haozhe and Wang, Kai and Zhang, Wenjie and Zhang, Ying and Wu, Ruijia and Lin, Xuemin},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {3},
        pages = {729--742},
        doi = {10.14778/3712221.3712238},
        url = {https://doi.org/10.14778/3712221.3712238},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,411 Triangle Counting in Hypergraph Streams: A Complete and Practical Approach 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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