Knowledge Graph Completion Algorithm with Multi-view Contrastive Learning

Knowledge Graph Completion Algorithm with Multi-view Contrastive Learning

Knowledge graph completion is a process of reasoning new triples based on existing entities and relations in knowledge graph. The existing methods usually use the encoder-decoder framework. Encoder uses graph convolutional neural network to get the embeddings of entities and relations. Decoder calcu...

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Bibliographic Details
Main Author: QIAO Zifeng, QIN Hongchao, HU Jingjing, LI Ronghua, WANG Guoren
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
knowledge graph; link prediction; contrastive learning; encoder; decoder
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2301038.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2301038.pdf

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