Making It Tractable to Catch Duplicates and Conflicts in Graphs
Summary: Introduces Graph Cleaning Rules (GCRs) for scalable entity and conflict resolution in large graphs, using dual-pattern and star-shaped templates with ML predicates to cope with schemaless structures. PTIME for satisfiability, implication, and validation of GCRs; presents parallel rule mining and deep ER/CR algorithms with speedups and higher accuracy than prior graph dependencies. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 2. Wenzhi Fu (University of Edinburgh)
- 3. Ruochun Jin (National University of Defense Technology)
- 4. Muyang Liu (University of Edinburgh)
- 5. Ping Lu (Beihang University)
- 6. Chao Tian (Beihang University)
BibTeX Citation
@inproceedings{fan_sigmod23,
title = {{Making It Tractable to Catch Duplicates and Conflicts in Graphs}},
author = {Fan, Wenfei and Fu, Wenzhi and Jin, Ruochun and Liu, Muyang and Lu, Ping and Tian, Chao},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588940},
url = {https://dl.acm.org/doi/10.1145/3588940},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,554 | Explaining GNN-based Recommendations in Logic | 2025 | VLDB | 5.2528121e-05 |
| 10,523 | Repairing Property Graphs under PG-Constraints | 2026 | VLDB | 5.093636e-05 |
| 10,763 | Rule-Based Graph Cleaning with GPUs on a Single Machine | 2025 | SIGMOD | 5.093636e-05 |
| 11,212 | Capturing More Associations by Referencing External Graphs | 2024 | VLDB | 5.093636e-05 |
| 11,304 | Graph Association Analyses for Early Drug Discovery | 2024 | VLDB | 5.093636e-05 |
| 11,410 | Enriching Recommendation Models with Logic Conditions | 2023 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 34 of 34 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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