Optimal Join Algorithms Meet Top-k
Summary: Unifies top-k queries with RAM-based optimal join algorithms, addressing large intermediates and Threshold Algorithm limitations. Surveys intersection of ranked-join enumeration, linking k-shortest path ideas to a unified, efficient top-k framework. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nikolaos Tziavelis (Northeastern University)
- 2. Wolfgang Gatterbauer (Northeastern University)
- 3. Mirek Riedewald (Northeastern University)
BibTeX Citation
@inproceedings{tziavelis_sigmod20,
title = {{Optimal Join Algorithms Meet Top-k}},
author = {Tziavelis, Nikolaos and Gatterbauer, Wolfgang and Riedewald, Mirek},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3383132},
url = {https://dl.acm.org/doi/10.1145/3318464.3383132},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 286 | Milvus: A Purpose-Built Vector Data Management System | 2021 | SIGMOD | 0.00022357911 |
| 4,753 | Worst-Case Optimal Graph Joins in Almost No Space | 2021 | SIGMOD | 6.5231863e-05 |
| 4,781 | Tractable Orders for Direct Access to Ranked Answers of Conjunctive Queries | 2021 | PODS | 6.5116536e-05 |
| 5,593 | Beyond Equi-joins: Ranking, Enumeration and Factorization | 2021 | VLDB | 6.1552328e-05 |
| 8,024 | Progressive Join Algorithms Considering User Preference | 2021 | CIDR | 5.5052493e-05 |
| 11,183 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,500 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD |
| 2 | 1,286 | Adaptive Optimization of Very Large Join Queries | 2018 | SIGMOD |
| 3 | 1,727 | Optimal Top-Down Join Enumeration | 2007 | SIGMOD |
| 4 | 12,308 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD |
| 5 | 2,745 | Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries | 2020 | VLDB |
| 6 | 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB |
| 7 | 1,740 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB |
| 8 | 321 | Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems | 2018 | PODS |
| 9 | 2,585 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS |
| 10 | 7,550 | Processing Top-k Join Queries | 2010 | VLDB |