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)
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Authors
- 1. Yue Pang (Hong Kong University of Science and Technology; Peking University)
- 2. Lei Zou (Peking University)
- 3. Angela Bonifati (CNRS; French University Institute; Laboratory of Informatics in Image and Information Systems; University of Lyon)
- 4. M. Tamer Özsu (University of Waterloo)
- 5. Xiaofang Zhou (Hong Kong University of Science and Technology)
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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