Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation

Summary: AdaMEL uses deep transfer learning with domain adaptation for multi-source entity linkage. Attribute-level self-attention learns attribute importance; domain adaptation uses unlabeled data from new sources, with optional labeled data, giving 8.21% avg improvement. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12923
Venue: VLDB
Year: 2022
Pagerank: 4.574554e-05
Overall Rank: 8,153 | 43.29%
DOI: 10.14778/3494124.3494131

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,751	Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact	2023	VLDB	4.456315e-05
8,911	PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching	2023	VLDB	4.427232e-05
10,083	GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases	2026	SIGMOD	4.1945683e-05

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
221	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00033121824
300	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028441466
702	Reasoning about Record Matching Rules	2009	VLDB	0.00017918203
754	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017117211
814	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00016370594
1,831	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010384082
2,452	Data Fusion – Resolving Data Conflicts for Integration	2009	VLDB	8.7839322e-05

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8,406	DADER: Hands-Off Entity Resolution with Domain Adaptation	2022	VLDB	4.5220083e-05
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8,908	Deep Active Alignment of Knowledge Graph Entities and Schemata	2023	SIGMOD	4.427232e-05
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