Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation
Summary: A unified ILP framework subsumes known and new deletion-propagation variants, including self-joins, unions, and bag semantics. Its coarse-grained instance-optimal solver automatically exploits data structure, achieves PTIME on tractable cases, and often outperforms specialized methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Neha Makhija (Northeastern University)
- 2. Wolfgang Gatterbauer (Northeastern University)
BibTeX Citation
@article{makhija_vldb25,
title = {{Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation}},
author = {Makhija, Neha and Gatterbauer, Wolfgang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2667--2680},
doi = {10.14778/3742728.3742756},
url = {https://doi.org/10.14778/3742728.3742756},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,502 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 5.093636e-05 |
| 10,652 | Smallest Synthetic Witnesses for Conjunctive Queries | 2025 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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