In this paper, we propose a Self-learning and Embedding based method for Entity Alignment, thus called SEEA, to iteratively find semantically matched entity ...
Apr 26, 2018 · In this paper, we propose a self-learning and embedding based method for entity alignment, thus called SEEA, to iteratively find semantically ...
A self-learning and embedding based method to iteratively find semantically aligned entity pairs, which makes full use of semantical information contained ...
In this paper, we propose a self-learning and embedding based method for entity alignment, thus called SEEA, to iteratively find semantically aligned entity ...
In this paper, we propose a Self-learning and Embedding based method for Entity Alignment, thus called SEEA, to iteratively find semantically matched entity ...
The study sets out to explore the nature of the interactions between business and IT units through the investigation of an intermediary role called a liaison ...
Jan 25, 2022 · Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by ...
Missing: Self- | Show results with:Self-
Oct 14, 2024 · Abstract: Entity alignment is an important problem for constructing Web-scale KGs. Self- supervised entity alignment models represented by ...
Feb 23, 2024 · Entity Alignment (EA) is vital for integrating diverse knowledge graph (KG) data, playing a crucial role in data-driven AI applications.
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What is entity alignment?
This study surveys 23 recent embedding-based entity alignment approaches and categorizes them based on their techniques and characteristics.