Computing Complex Temporal Join Queries Efficiently
Summary: Multi-way temporal joins on intervals; reduces intermediates via overlap-aware processing. Durable temporal joins; classify joins; linear-time iff r-hierarchical (3SUM); output-sensitive methods for non-r-hierarchical cases; implemented. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiao Hu (Duke University)
- 2. Stavros Sintos (University of Chicago)
- 3. Junyang Gao (Google)
- 4. Pankaj K. Agarwal (Duke University)
- 5. Jun Yang (Duke University)
BibTeX Citation
@inproceedings{hu_sigmod22,
title = {{Computing Complex Temporal Join Queries Efficiently}},
author = {Hu, Xiao and Sintos, Stavros and Gao, Junyang and Agarwal, Pankaj K. and Yang, Jun},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517893},
url = {https://dl.acm.org/doi/10.1145/3514221.3517893},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,161 | Computing the Difference of Conjunctive Queries Efficiently | 2023 | SIGMOD | 5.6852987e-05 |
| 7,850 | Differentially Private Data Release over Multiple Tables | 2023 | PODS | 5.5316993e-05 |
| 8,575 | LIT: Lightning-fast In-memory Temporal Indexing | 2024 | SIGMOD | 5.4095946e-05 |
| 8,691 | On Reporting Durable Patterns in Temporal Proximity Graphs | 2024 | PODS | 5.3839057e-05 |
| 11,338 | A Branch-&-Bound Algorithm for Fractional Hypertree Decomposition | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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