Relational Algorithms for Top-k Query Evaluation
Summary: Relational algorithms for top-k conjunctive queries: level-k/product-k express each step as relational operators, so the whole method compiles to portable SQL and even to oblivious secure evaluation. Level-k is optimal for top-k free-connex queries, with reported gains up to 10^6x over baselines. (summarized by gpt-5.4-mini on May 24 2026)
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Authors
- 1. Qichen Wang (Hong Kong Baptist University)
- 2. Qiyao Luo (Hong Kong University of Science and Technology)
- 3. Yilei Wang (Alibaba)
BibTeX Citation
@inproceedings{wang_sigmod24,
title = {{Relational Algorithms for Top-k Query Evaluation}},
author = {Wang, Qichen and Luo, Qiyao and Wang, Yilei},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654971},
url = {https://dl.acm.org/doi/10.1145/3654971},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,902 | Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees | 2025 | SIGMOD | 5.9536872e-05 |
| 10,501 | Sketch-based Secure Query Processing for Streaming Data | 2026 | SIGMOD | 4.9793485e-05 |
| 10,508 | Succinct Structure Representations for Efficient Query Optimization | 2026 | SIGMOD | 4.9793485e-05 |
| 11,027 | Instance-Optimal Acyclic Joins: From Theory to Systems | 2026 | VLDB | 4.9793485e-05 |
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