KGAT: Knowledge graph attention network for recommendation

• Main Authors: WANG, Xiang, HE, Xiangnan, CAO, Yixin, LIU, Meng, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Collaborative Filtering; Recommendation; Graph Neural Network; Higher-order Connectivity; Embedding Propagation; Knowledge Graph; Databases and Information Systems; Graphics and Human Computer Interfaces; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7287; https://ink.library.smu.edu.sg/context/sis_research/article/8290/viewcontent/3292500.3330989.pdf
• Institution: Singapore Management University

To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like factorization machine (FM) cast it as a supervised learning problem, which assumes each interaction as an...