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
- 2. Yuhong Gu
- 3. Gao Cong
- 4. Hai Jin
- 5. Xinqiao Lv
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,752 | Computing Graph Edit Distance via Neural Graph Matching | 2023 | VLDB | 6.7879009e-05 |
| 9,235 | ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries | 2025 | VLDB | 4.3690661e-05 |
| 10,091 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 4.1945683e-05 |
| 11,047 | Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution | 2024 | VLDB | 4.1945683e-05 |
| 11,059 | DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series | 2024 | VLDB | 4.1945683e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,908 | Deep Active Alignment of Knowledge Graph Entities and Schemata | 2023 | SIGMOD | 4.427232e-05 |
| 8,585 | Robust Entity Resolution using Random Graphs | 2018 | SIGMOD | 4.4905755e-05 |
| 1,914 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010109102 |
| 3,140 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 7.4841763e-05 |
| 319 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027781866 |
| 11,047 | Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution | 2024 | VLDB | 4.1945683e-05 |
| 5,798 | Exploiting Context Analysis for Combining Multiple Entity Resolution Systems | 2009 | SIGMOD | 5.3231654e-05 |
| 221 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033121824 |
| 6,569 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 5.0065379e-05 |
| 754 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017117211 |