Graph contrast learning for recommendation based on relational graph convolutional neural network

Graph contrast learning for recommendation based on relational graph convolutional neural network

Current knowledge graph-based recommendation methods heavily rely on high-quality knowledge graphs, often falling short in effectively addressing issues such as the cold start problem and heterogeneous noise in user interactions. This leads to biases in user interest and popularity. To overcome thes...

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Bibliographic Details
Main Authors: Xiaoyang Liu, Hanwen Feng, Xiaoqin Zhang, Xia Zhou, Asgarali Bouyer
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Recommendation system
Graph convolutional neural network
Graph contrast learning
Knowledge graph
Online Access:http://www.sciencedirect.com/science/article/pii/S131915782400257X

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http://www.sciencedirect.com/science/article/pii/S131915782400257X

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