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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)

Paper ID
12684
Venue
VLDB
Year
2021
Pagerank
5.0723324e-05
Overall Rank
11,783 | 19.44%
DOI
10.14778/3476311.3476367

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Authors

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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