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: 12924
Venue: VLDB
Year: 2022
Pagerank: 4.5701678e-05
Overall Rank: 8,158 | 43.31%
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
8,747	Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact	2023	VLDB	4.4520434e-05
8,913	PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching	2023	VLDB	4.4229886e-05
10,083	GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases	2026	SIGMOD	4.1905499e-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
219	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00033354456
293	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028661817
700	Reasoning about Record Matching Rules	2009	VLDB	0.00017927576
740	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017358024
799	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00016479804
1,821	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010406856
2,453	Data Fusion – Resolving Data Conflicts for Integration	2009	VLDB	8.7815427e-05

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8,401	DADER: Hands-Off Entity Resolution with Domain Adaptation	2022	VLDB	4.5176737e-05
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2,758	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.1668285e-05
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