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A Unified Query Planning Framework for Conjunctive Regular Path Queries

Summary: Introduces a unified algebraic framework for optimizing conjunctive regular path queries via a composable hypergraph model and six core operators. Transformation-based plan enumeration plus cost-based selection outperforms heuristic combinations in MillenniumDB and Neo4j. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h140ac64864ac9a6a
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,817 | 27.28%
DOI
10.14778/3828612.3828624

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Authors

BibTeX Citation

@article{pang_vldb26,
        title = {{A Unified Query Planning Framework for Conjunctive Regular Path Queries}},
        author = {Pang, Yue and Zou, Lei and Bonifati, Angela and Özsu, M. Tamer and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {10},
        pages = {2686--2698},
        doi = {10.14778/3828612.3828624},
        url = {https://doi.org/10.14778/3828612.3828624},
        year = {2026}
}

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