Entity Resolution with Hierarchical Graph Attention Networks
Summary: Proposes HierGAT, a hierarchical graph-attention ER model that jointly reasons about interdependent decisions, not pairwise. Uses graph attention to identify discriminative attributes/words, achieving up to 32.5% F1 over DeepMatcher and 8.7% over Ditto. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dezhong Yao (Huazhong University of Science and Technology)
- 2. Yuhong Gu (Huazhong University of Science and Technology)
- 3. Gao Cong (Nanyang Technological University)
- 4. Hai Jin (Huazhong University of Science and Technology)
- 5. Xinqiao Lv (Huazhong University of Science and Technology)
BibTeX Citation
@inproceedings{yao_sigmod22,
title = {{Entity Resolution with Hierarchical Graph Attention Networks}},
author = {Yao, Dezhong and Gu, Yuhong and Cong, Gao and Jin, Hai and Lv, Xinqiao},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517872},
url = {https://dl.acm.org/doi/10.1145/3514221.3517872},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,423 | Computing Graph Edit Distance via Neural Graph Matching | 2023 | VLDB | 7.4260662e-05 |
| 8,627 | ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries | 2025 | VLDB | 5.3969543e-05 |
| 10,203 | BEACON: Budget-Aware Entity Matching Across Domains | 2026 | SIGMOD | 5.093636e-05 |
| 10,382 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 5.093636e-05 |
| 11,255 | Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution | 2024 | VLDB | 5.093636e-05 |
| 11,266 | DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|---|---|---|---|
| 1 | 9,818 | Hierarchical Entity Resolution using an Oracle | 2022 | SIGMOD |
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| 4 | 2,290 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD |
| 5 | 248 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB |
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| 7 | 11,255 | Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution | 2024 | VLDB |
| 8 | 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB |
| 9 | 5,730 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD |
| 10 | 489 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB |