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Triangle Counting in Hypergraph Streams: A Complete and Practical Approach

Summary: Complete taxonomy of hyper-vertex triangles (inner, hybrid, outer) enabling unified hypergraph triangle counting in streams. HTCount (memory-adaptive reservoir sampling) and HTCount-P (partitioned reservoirs) provide unbiased estimators with variance bounds and 10–100× lower error under tight memory. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7623
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,411 | 28.58%
DOI
10.1145/3769837

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Authors

BibTeX Citation

@inproceedings{meng_sigmod26,
        title = {{Triangle Counting in Hypergraph Streams: A Complete and Practical Approach}},
        author = {Meng, Lingkai and Yuan, Long and Lin, Xuemin and Zhang, Wenjie and Zhang, Ying},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769837},
        url = {https://dl.acm.org/doi/10.1145/3769837},
        year = {2026}
}

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Rank Citing Paper Year Venue Pagerank
10,266 Maintaining Biconnected Components in Streaming Graphs 2026 SIGMOD 5.093636e-05
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