Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment-Reference-Cited by-同舟云学术

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment

Published:2024 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Liu Meng¹^ORCID,Liang Ke¹,Zhao Yawei²^ORCID,Tu Wenxuan¹^ORCID,Zhou Sihang³^ORCID,Gan Xinbiao¹,Liu Xinwang¹^ORCID,He Kunlun²^ORCID

Affiliation:

1. School of Computer, National University of Defense Technology, Changsha, China

2. Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China

3. College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Public Service Platform for Artificial Intelligence Screening and Auxiliary Diagnosis for the Medical and Health Industry, Ministry of Industry and Information Technology of the People’s Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10506201.pdf?arnumber=10506201

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