PGE: Robust Product Graph Embedding Learning for Error Detection
Summary: PGE introduces a noise-tolerant end-to-end embedding framework for product graphs, jointly exploiting text and structure to detect bad triples. It handles free-text attributes and noisy triples, delivering robust error detection on real-world product graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Kewei Cheng
- 2. Xian Li
- 3. Yifan Ethan Xu
- 4. Xin Luna Dong
- 5. Yizhou Sun
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,747 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB | 4.4520434e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00064239035 |
| 1,197 | The LLUNATIC Data-Cleaning Framework | 2013 | VLDB | 0.00013373177 |
| 1,340 | HoloDetect: Few-Shot Learning for Error Detection | 2019 | SIGMOD | 0.00012492795 |
| 1,625 | Sampling the Repairs of Functional Dependency Violations under Hard Constraints | 2010 | VLDB | 0.0001109361 |
| 3,000 | BigDansing: A System for Big Data Cleansing | 2015 | SIGMOD | 7.7447724e-05 |
| 3,478 | Functional Dependencies for Graphs | 2016 | SIGMOD | 7.0554625e-05 |
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