A Novel Embedding Model for Knowledge Graph Entity Alignment Based on Graph Neural Networks

The objective of the entity alignment (EA) task is to identify entities with identical semantics across distinct knowledge graphs (KGs) situated in the real world, which has garnered extensive recognition in both academic and industrial circles. Within this paper, a pioneering entity alignment frame...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Hongchan Li, Zhaoyang Han, Haodong Zhu, Yuchao Qian
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Subjects:
knowledge graphs
entity alignment
character embeddings
heterogeneous features
Online Access:https://www.mdpi.com/2076-3417/13/10/5876

Internet

https://www.mdpi.com/2076-3417/13/10/5876

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