Worst-Case-Optimal Similarity Joins on Graph Databases
Summary: Worst-case-optimal graph equijoins extended to k-NN similarity by fusing the data graph with a k-NN graph and using LTJ on a Ring to integrate similarity predicates. Wikidata–IMGpedia experiments show clear gains over a two-phase baseline, especially for dense similarity connections (up to an order of magnitude). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Diego Arroyuelo
- 2. Benjamin Bustos
- 3. Adrián Gómez-Brandón
- 4. Aidan Hogan
- 5. Gonzalo Navarro
- 6. Juan Reutter
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,367 | Aster: Enhancing LSM-structures for Scalable Graph Database | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10,706 | Extensible and Robust Evaluation of Similarity Queries | 2025 | VLDB | 4.1945683e-05 |
| 2,275 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB | 9.1262202e-05 |
| 6,241 | Scaling Similarity Joins over Tree-Structured Data | 2015 | VLDB | 5.1411469e-05 |
| 9,321 | Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement | 2024 | VLDB | 4.3556432e-05 |
| 4,976 | Efficient Top-K SimRank-based Similarity Join | 2015 | VLDB | 5.7882361e-05 |
| 8,899 | Fast Approximate Similarity Join in Vector Databases | 2025 | SIGMOD | 4.427232e-05 |
| 5,493 | Worst-Case Optimal Graph Joins in Almost No Space | 2021 | SIGMOD | 5.4771449e-05 |