KGAT: Knowledge graph attention network for recommendation

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...

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Bibliographic Details
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
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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
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Institution: Singapore Management University
Language: English