Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges
Summary: Survey of graph-structured relation querying: foundations, system implementations, and open challenges. Focus on graph workloads, GDBMSs and graph-augmented RDBMSs, with worst-case optimal joins and factorized query processing; discusses implementation gaps and research directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amine Mhedhbi (University of Waterloo)
- 2. Semih Salihoğlu (University of Waterloo)
BibTeX Citation
@article{mhedhbi_vldb22,
title = {{Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges}},
author = {Mhedhbi, Amine and Salihoğlu, Semih},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3762--3765},
doi = {10.14778/3554821.3554894},
url = {https://doi.org/10.14778/3554821.3554894},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,920 | Full-Power Graph Querying: State of the Art and Challenges | 2023 | VLDB | 5.3483178e-05 |
| 9,944 | Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ | 2025 | VLDB | 5.1915905e-05 |
| 10,087 | Worst-Case-Optimal Similarity Joins on Graph Databases | 2024 | SIGMOD | 5.1558402e-05 |
| 11,030 | GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes | 2025 | VLDB | 5.093636e-05 |
| 11,064 | Property Graph Standards: State of the Art & Open Challenges | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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