Self-Supervised Hypergraph Representation Learning for Sociological Analysis-Reference-Cited by-同舟云学术

Self-Supervised Hypergraph Representation Learning for Sociological Analysis

Author:

Sun Xiangguo¹^ORCID,Cheng Hong¹^ORCID,Liu Bo²^ORCID,Li Jia³^ORCID,Chen Hongyang⁴^ORCID,Xu Guandong⁵^ORCID,Yin Hongzhi⁶^ORCID

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong

2. Southeast University, Nanjing, Jiangsu, China

3. Hong Kong University of Science and Technology, Hong Kong

4. Zhejiang Lab, Hangzhou City, Zhejiang Province, China

5. University of Technology Sydney, Ultimo, NSW, Australia

6. The University of Queensland, St Lucia, QLD, Australia

Funder

Research Grant Council of the Hong Kong Special Administrative Region, China

National Natural Science Foundation of China

CUHK Direct

National Key Research and Development Program of China

Australian Research Council Future Fellowship

Discovery Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

Reference46 articles.

3. Self-supervised learning for recommender systems: A survey;yu;arXiv 2203 15876,2022

5. Graph neural collaborative topic model for citation recommendation;xie;ACM Trans Inf Syst,2021

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