Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention

Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention

Abstract Knowledge graph (KG) has become the vital resource for various applications like question answering and recommendation system. However, several relations in KG only have few observed triples, which makes it necessary to develop the method for few-shot relation prediction. In this paper, we...

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Bibliographic Details
Main Authors: Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Data Science and Engineering
Subjects:
Knowledge graph
Few-shot relation prediction
Convolutional neural network
Self-attention
Online Access:https://doi.org/10.1007/s41019-023-00230-x

Internet

https://doi.org/10.1007/s41019-023-00230-x

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