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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)

Paper ID
hc9d95a731264fb39
Venue
SIGMOD
Year
2024
Pagerank
4.9769913e-05
Overall Rank
11,532 | 22.50%
DOI
10.1145/3654971
PDF
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Authors

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}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010679903
315 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021236408
357 FAQ: Questions Asked Frequently 2016 PODS 0.00020013731
507 Supporting Incremental Join Queries on Ranked Inputs 2001 VLDB 0.00017093562
524 Supporting Top-k Join Queries in Relational Databases 2003 VLDB 0.00016902116
813 The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates 2017 SIGMOD 0.00013722638
962 RankSQL: Query Algebra and Optimization for Relational Top-k Queries 2005 SIGMOD 0.00012818013
1,091 What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another? 2017 PODS 0.00012068611
1,496 SMCQL: Secure Querying for Federated Databases 2017 VLDB 0.00010479934
1,570 AJAR: Aggregations and Joins over Annotated Relations 2016 PODS 0.0001020376
2,020 Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations 2019 VLDB 9.1714694e-05
2,076 Efficient Oblivious Database Joins 2020 VLDB 9.0798814e-05
2,302 On Functional Aggregate Queries with Additive Inequalities 2019 PODS 8.6687541e-05
2,310 Secure kNN Computation on Encrypted Databases 2009 SIGMOD 8.662463e-05
2,366 Hypertree Decompositions and Tractable Queries 1999 PODS 8.5614655e-05
2,517 On the Enumeration Complexity of Unions of Conjunctive Queries 2019 PODS 8.3550625e-05
2,593 Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries 2020 VLDB 8.2429717e-05
4,510 Conjunctive Queries with Comparisons 2022 SIGMOD 6.5673056e-05
4,745 Optimal Join Algorithms Meet Top-k 2020 SIGMOD 6.4369578e-05
5,061 Change Propagation Without Joins 2023 VLDB 6.2897936e-05
5,124 Secure Query Processing with Data Interoperability in a Cloud Database Environment 2014 SIGMOD 6.2620601e-05
5,233 Robust and Efficient Algorithms for Rank Join Evaluation 2009 SIGMOD 6.2167391e-05
5,757 SDB: A Secure Query Processing System with Data Interoperability 2015 VLDB 6.0029557e-05
6,533 Query Evaluation by Circuits 2022 PODS 5.7519838e-05
6,547 Ranked Enumeration of Join Queries with Projections 2022 VLDB 5.7488764e-05
6,738 What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments 2022 VLDB 5.6912817e-05
7,294 Computing the Difference of Conjunctive Queries Efficiently 2023 SIGMOD 5.5616228e-05
9,355 External Merge Sort for Top-K Queries: Eager input filtering guided by histograms 2020 SIGMOD 5.1876576e-05
10,157 Threshold Queries in Theory and in the Wild 2022 VLDB 5.0691578e-05
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