Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration

Peng Huang; Meihui Zhang; Ziyue Zhong; Chengliang Chai; Ju Fan

doi:10.1109/icde60146.2024.00267

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JOURNAL ARTICLE

Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration

Peng Huang Meihui Zhang Ziyue Zhong Chengliang Chai Ju Fan

Year: 2024 Pages: 3462-3475

DOI: 10.1109/icde60146.2024.00267

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Keywords:

Computer science Graph Representation (politics) Knowledge graph Theoretical computer science Artificial intelligence Knowledge representation and reasoning

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Cited By

1.28

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration

Metrics

Citation History

Topics

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