Worst-Case Optimal BGPs on Temporal Graphs
Summary: Introduces a linear-space index and temporal Leapfrog Triejoin for BGPs over interval-valid labeled graphs with time variables and order predicates. Provides worst-case-optimal O(Q*^m log N) evaluation, extending guarantees to snapshot and version queries. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Diego Arroyuelo (Millennium Institute Foundational Research on Data; Pontifical Catholic University of Chile)
- 2. Aidan Hogan (Millennium Institute Foundational Research on Data; Universidad de Chile)
- 3. Gonzalo Navarro (Millennium Institute Foundational Research on Data; Universidad de Chile)
- 4. Juan Reutter (Millennium Institute Foundational Research on Data; Pontifical Catholic University of Chile)
BibTeX Citation
@article{arroyuelo_vldb26,
title = {{Worst-Case Optimal BGPs on Temporal Graphs}},
author = {Arroyuelo, Diego and Hogan, Aidan and Navarro, Gonzalo and Reutter, Juan},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3174--3187},
doi = {10.14778/3836663.3836681},
url = {https://doi.org/10.14778/3836663.3836681},
year = {2026}
}
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