Fusing Attribute Character Embeddings with Truncated Negative Sampling for Entity Alignment
Finding pairs of entities from two different knowledge graphs that reflect the same real-world object is the purpose of entity alignment for knowledge graphs. In recent years, techniques that use entity alignment for knowledge fusion have received widespread attention. In this article, we suggest a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/8/1947 |