Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation
Summary: AdaMEL enables source-agnostic multi-source entity linkage via attribute-level self-attention and domain adaptation over unlabeled incoming sources. It optionally exploits additional labels to handle source-specific attribute importance, improving linkage accuracy and runtime stability. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Di Jin (University of Michigan)
- 2. Bunyamin Sisman (Amazon)
- 3. Hao Wei (Amazon)
- 4. Xin Luna Dong (Amazon)
- 5. Danai Koutra (University of Michigan)
BibTeX Citation
@article{jin_vldb22,
title = {{Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation}},
author = {Jin, Di and Sisman, Bunyamin and Wei, Hao and Dong, Xin Luna and Koutra, Danai},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {465--477},
doi = {10.14778/3494124.3494131},
url = {https://doi.org/10.14778/3494124.3494131},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,134 | PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching | 2023 | VLDB | 5.6942765e-05 |
| 8,921 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB | 5.3483178e-05 |
| 10,374 | GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 489 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.0001761456 |
| 619 | Reasoning about Record Matching Rules | 2009 | VLDB | 0.00015707247 |
| 626 | Entity Resolution: Theory, Practice & Open Challenges | 2012 | VLDB | 0.00015656958 |
| 1,465 | Synthesizing Entity Matching Rules by Examples | 2018 | VLDB | 0.00010689571 |
| 1,783 | Data Fusion – Resolving Data Conflicts for Integration | 2009 | VLDB | 9.772895e-05 |
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