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HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings

Summary: HyperBench: a public benchmark and web workbench with implemented hypergraph-decomposition algorithms (including new practical methods) for hw, ghw, and fhw on diverse CQ/CSP instances. Supplies a large curated dataset and reproducible empirical analyses that reveal practical performance, limits, and trade-offs of decomposition techniques. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1777
Venue
PODS
Year
2019
Pagerank
6.2090515e-05
Overall Rank
5,461 | 62.54%
DOI
10.1145/3294052.3319683

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{fischl_pods19,
        address = {New York, NY, USA},
        series = {{PODS} '19},
        title = {{HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings}},
        url = {https://dl.acm.org/doi/10.1145/3294052.3319683},
        doi = {10.1145/3294052.3319683},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Fischl, Wolfgang and Gottlob, Georg and Longo, Davide Mario and Pichler, Reinhard},
        year = {2019}
}

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