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
- 2. Hanchao Ma
- 3. Sutanay Choudhury
- 4. Yinghui Wu
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,612 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00011142794 |
| 2,450 | Functional Dependencies for Graphs | 2016 | SIGMOD | 8.7882979e-05 |
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