Contextualized graph attention network for recommendation with item knowledge graph

• Main Authors: Liu, Yong, Yang, Susen, Xu, Yonghui, Miao, Chunyan, Wu, Min, Zhang, Juyong
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Recommendation Systems; Knowledge Graph; Graph Neural Networks
• Online Access: https://hdl.handle.net/10356/156036
• Institution: Nanyang Technological University

Graph neural networks (GNN) have recently been applied to exploit knowledge graph (KG) for recommendation. Existing GNN-based methods explicitly model the dependency between an entity and its local graph context in KG (i.e., the set of its first-order neighbors), but may not be effective in capturin...