A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction

A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction

Knowledge graph (KG) embedding is to embed the entities and relations of a KG into a low-dimensional continuous vector space while preserving the intrinsic semantic associations between entities and relations. One of the most important applications of knowledge graph embedding (KGE) is link predicti...

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Bibliographic Details
Main Authors: Xin Zhou, Jingnan Guo, Liling Jiang, Bo Ning, Yanhao Wang
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
knowledge graph embedding
convolutional neural network
channel attention
link prediction
feature enhancement
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023421?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023421?viewType=HTML

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