Repairing Vertex Labels under Neighborhood Constraints
Summary: Repairing Vertex Labels under Neighborhood Constraints studies cleaning vertex labels to satisfy allowed adjacent-label pairs in graphs. Facing NP-hard relabeling, it proposes greedy, contraction, and hybrid approximations, analyzes star/clique cases, and shows strong empirical performance on synthetic and real networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shaoxu Song
- 2. Hong Cheng
- 3. Jeffrey Xu Yu
- 4. Lei Chen
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,544 | KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing | 2015 | SIGMOD | 0.00011438274 |
| 6,279 | Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks | 2023 | VLDB | 5.1241232e-05 |
| 8,008 | Online Topic-Aware Entity Resolution Over Incomplete Data Streams | 2021 | SIGMOD | 4.6037276e-05 |
| 8,363 | Deducing Certain Fixes to Graphs | 2019 | VLDB | 4.5311185e-05 |
| 11,711 | Catching Numeric Inconsistencies in Graphs | 2018 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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