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Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints

Summary: Polynomial-time algorithm computes the polymatroid bound for simple degree constraints and produces a proof sequence to accelerate PANDA-based conjunctive query evaluation. Introduces a practical flow bound and discusses computational limits for extending to broader degree-constraint classes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1999
Venue
PODS
Year
2025
Pagerank
5.1814573e-05
Overall Rank
9,994 | 31.44%
DOI
10.1145/3725233

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{im_pods25,
        address = {New York, NY, USA},
        series = {{PODS} '25},
        title = {{Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints}},
        url = {https://dl.acm.org/doi/10.1145/3725233},
        doi = {10.1145/3725233},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Im, Sungjin and Moseley, Benjamin and Ngo, Hung Q. and Pruhs, Kirk},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,165 PANDAExpress: A Simpler and Faster PANDA Algorithm 2026 PODS 5.093636e-05
10,438 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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