Computing Why-Provenance for Property Graph Queries
Summary: Defines fine-grained why-provenance for GQL answers over labeled property graphs, identifying contributing input subgraphs. Introduces algebraic query rewriting over Core-GQL, enabling provenance on existing engines with scalable, moderate overhead. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Koumudi Ganepola (Vienna University of Technology)
- 2. Maxime Jakubowski (Vienna University of Technology)
- 3. Katja Hose (Vienna University of Technology)
BibTeX Citation
@article{ganepola_vldb26,
title = {{Computing Why-Provenance for Property Graph Queries}},
author = {Ganepola, Koumudi and Jakubowski, Maxime and Hose, Katja},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3552--3564},
doi = {10.14778/3836663.3836708},
url = {https://doi.org/10.14778/3836663.3836708},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059752575 |
| 860 | G-CORE: A Core for Future Graph Query Languages | 2018 | SIGMOD | 0.00013406849 |
| 1,494 | Graph Pattern Matching in GQL and SQL/PGQ | 2022 | SIGMOD | 0.00010502195 |
| 1,814 | ProvSQL: Provenance and Probability Management in PostgreSQL | 2018 | VLDB | 9.5800565e-05 |
| 4,553 | GQL and SQL/PGQ: Theoretical Models and Expressive Power | 2025 | VLDB | 6.5393335e-05 |
| 4,965 | GPC: A Pattern Calculus for Property Graphs | 2023 | PODS | 6.3360914e-05 |
| 8,330 | Computing How-Provenance for SPARQL Queries via Query Rewriting | 2021 | VLDB | 5.353568e-05 |
| 9,072 | The LDBC Financial Benchmark: Transaction Workload | 2025 | VLDB | 5.2283159e-05 |
| 9,095 | A Demonstration of TripleProv: Tracking and Querying Provenance over Web Data | 2015 | VLDB | 5.2283159e-05 |
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