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
No non-self incoming citations found for this paper in this database.
Authors
- 1. Kewei Cheng (University of California Los Angeles)
- 2. Xian Li (Amazon)
- 3. Yifan Ethan Xu (Amazon)
- 4. Xin Luna Dong (Meta)
- 5. Yizhou Sun (University of California Los Angeles)
BibTeX Citation
@article{cheng_vldb22,
title = {{PGE: Robust Product Graph Embedding Learning for Error Detection}},
author = {Cheng, Kewei and Li, Xian and Xu, Yifan Ethan and Dong, Xin Luna and Sun, Yizhou},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {6},
pages = {1288--1296},
doi = {10.14778/3514061.3514074},
url = {https://doi.org/10.14778/3514061.3514074},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,921 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB | 5.3483178e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 65 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00038697603 |
| 800 | The LLUNATIC Data-Cleaning Framework | 2013 | VLDB | 0.00013911223 |
| 946 | HoloDetect: Few-Shot Learning for Error Detection | 2019 | SIGMOD | 0.00013054126 |
| 1,332 | Sampling the Repairs of Functional Dependency Violations under Hard Constraints | 2010 | VLDB | 0.00011129529 |
| 2,398 | BigDansing: A System for Big Data Cleansing | 2015 | SIGMOD | 8.631172e-05 |
| 2,973 | Functional Dependencies for Graphs | 2016 | SIGMOD | 7.9083516e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,592 | Robust Entity Resolution using Random Graphs | 2018 | SIGMOD |
| 2 | 10,524 | A Semantics-aware Approach for Graph Edit Distance Estimation over Knowledge Graphs | 2026 | VLDB |
| 3 | 8,921 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB |
| 4 | 5,305 | Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques | 2022 | VLDB |
| 5 | 1,402 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD |
| 6 | 11,187 | GE2: A General and Efficient Knowledge Graph Embedding Learning System | 2024 | SIGMOD |
| 7 | 2,781 | Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study | 2020 | SIGMOD |
| 8 | 6,341 | Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks | 2024 | SIGMOD |
| 9 | 6,466 | Supporting Keyword Search in Product Database: A Probabilistic Approach | 2013 | VLDB |
| 10 | 4,056 | A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs | 2020 | VLDB |