GEDet: Detecting Erroneous Nodes with A Few Examples
Summary: Few-shot node error detection with GEDet; detects erroneous nodes from few examples. Uses graph augmentation to synthesize data and an adversarial detector to separate real, synthetic, and erroneous nodes; various errors and active learning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sheng Guan (Case Western Reserve University)
- 2. Hanchao Ma (Case Western Reserve University)
- 3. Sutanay Choudhury (Pacific Northwest National Laboratory)
- 4. Yinghui Wu (Case Western Reserve University)
BibTeX Citation
@article{guan_vldb21,
title = {{GEDet: Detecting Erroneous Nodes with A Few Examples}},
author = {Guan, Sheng and Ma, Hanchao and Choudhury, Sutanay and Wu, Yinghui},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2875--2878},
doi = {10.14778/3476311.3476367},
url = {https://doi.org/10.14778/3476311.3476367},
year = {2021}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,355 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00011045271 |
| 2,978 | Functional Dependencies for Graphs | 2016 | SIGMOD | 7.8827192e-05 |
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