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)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,486 | Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth | 2022 | PODS | 4.4999394e-05 |
| 9,798 | Threshold Queries in Theory and in the Wild | 2022 | VLDB | 4.2818172e-05 |
| 10,360 | Soft and Constrained Hypertree Width | 2025 | PODS | 4.1945683e-05 |
| 10,483 | Fast Hypertree Decompositions via Linear Programming: Fractional and Generalized | 2025 | SIGMOD | 4.1945683e-05 |
| 10,733 | Subgraph Matching: A New Decomposition Based Approach | 2025 | VLDB | 4.1945683e-05 |
| 11,132 | A Branch-&-Bound Algorithm for Fractional Hypertree Decomposition | 2024 | VLDB | 4.1945683e-05 |
| 11,324 | The Complexity of Conjunctive Queries with Degree 2 | 2022 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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