Space-Time Tradeoffs for Conjunctive Queries with Access Patterns
Summary: Presents a general algorithmic framework, based on PANDA and tree decompositions, that yields space–time tradeoffs for answering arbitrary conjunctive queries with access patterns via preprocessing. Framework subsumes prior ad-hoc tradeoffs (paths, triangles) and gives surprising improvements for reachability queries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hangdong Zhao (University of Wisconsin)
- 2. Shaleen Deep (Microsoft)
- 3. Paraschos Koutris (University of Wisconsin)
BibTeX Citation
@inproceedings{zhao_pods23,
address = {New York, NY, USA},
series = {{PODS} '23},
title = {{Space-Time Tradeoffs for Conjunctive Queries with Access Patterns}},
url = {https://dl.acm.org/doi/10.1145/3584372.3588675},
doi = {10.1145/3584372.3588675},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Zhao, Hangdong and Deep, Shaleen and Koutris, Paraschos},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,445 | Output-Sensitive Evaluation of Regular Path Queries | 2025 | PODS | 5.1630894e-05 |
| 10,476 | The Space-Time Complexity of Sum-Product Queries | 2026 | PODS | 4.9605343e-05 |
| 10,515 | Differentially Oblivious Multi-way Join | 2026 | SIGMOD | 4.9605343e-05 |
| 11,151 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 357 | FAQ: Questions Asked Frequently | 2016 | PODS | 0.00020048899 |
| 536 | An Analytical Study of Large SPARQL Query Logs | 2018 | VLDB | 0.00016738841 |
| 639 | Answering Conjunctive Queries under Updates | 2017 | PODS | 0.00015289346 |
| 815 | The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates | 2017 | SIGMOD | 0.00013682594 |
| 1,096 | What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another? | 2017 | PODS | 0.00012035761 |
| 2,593 | Secure Yannakakis: Join-Aggregate Queries over Private Data | 2021 | SIGMOD | 8.2282707e-05 |
| 2,930 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 7.8287763e-05 |
| 3,199 | Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries | 2020 | PODS | 7.5261206e-05 |
| 3,533 | Bag Query Containment and Information Theory | 2020 | PODS | 7.204863e-05 |
| 5,512 | Compressed Representations of Conjunctive Query Results | 2018 | PODS | 6.0867282e-05 |
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