FDGNN: Feature-Aware Disentangled Graph Neural Network for Recommendation-Reference-Cited by-同舟云学术

FDGNN: Feature-Aware Disentangled Graph Neural Network for Recommendation

Author:

Liu Xiao¹^ORCID,Meng Shunmei²^ORCID,Li Qianmu²^ORCID,Liu Qiyan³,He Qiang⁴^ORCID,Ramesh Dharavath⁵^ORCID,Qi Lianyong⁶^ORCID

Affiliation:

1. Department of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

3. Department of Computer Engineering, University of Toronto, Toronto, Canada

4. School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia

5. Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India

6. College of Computer Science and Technology, China University of Petroleum (East China), Dongying, China

Funder

National Natural Science Foundation of China

Open Research Project of State Key Laboratory of Novel Software Technology, Nanjing University

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

Reference50 articles.

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