HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation

• Main Authors: DU, Yuntao, ZHU, Xinjun, CHEN, Lu, ZHENG, Baihua, GAO, Yunjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Recommendation; Graph Neural Network; Knowledge Graph; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7181; https://ink.library.smu.edu.sg/context/sis_research/article/8184/viewcontent/_Submit__HAKG__Hierarchy_Aware_Knowledge_Gated_Network_for_Recommendation.pdf
• Institution: Singapore Management University

Knowledge graph (KG) plays an increasingly important role to improve the recommendation performance and interpretability. A recent technical trend is to design end-to-end models based on information propagation mechanism. However, existing propagationbased methods fail to (1) model the underlying hi...