Multi-level cross-view contrastive learning for knowledge-aware recommender system

• Main Authors: ZOU, Ding, WEI, Wei, MAO, Xian-Ling, WANG, Ziyang, QIU, Minghui, ZHU, Feida, CAO, Xin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Graph Neural Network; Contrastive Learning; Knowledge Graph; Recommender System; Multi-view Graph Learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7754; https://ink.library.smu.edu.sg/context/sis_research/article/8757/viewcontent/multi_level.pdf
• Institution: Singapore Management University

Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, graph neural networks (GNNs) based model has gradually become the theme of knowledge-aware recommendation (KGR). However, there is a natural deficiency for GNN-based KGR models, that is, the sparse supervised...