Attributed Graph Force Learning-Reference-Cited by-同舟云学术

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Attributed Graph Force Learning

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Sun Ke¹^ORCID,Xia Feng²^ORCID,Liu Jiaying³^ORCID,Xu Bo¹^ORCID,Saikrishna Vidya⁴^ORCID,Aggarwal Charu C.⁵^ORCID

Affiliation:

1. School of Software, Dalian University of Technology, Dalian, China

2. Institute of Innovation, Science and Sustainability, Federation University Australia, Ballarat, VIC, Australia

3. School of Economics and Management, Dalian University of Technology, Dalian, China

4. Global Professional School, Federation University Australia, Ballarat, VIC, Australia

5. IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09956791.pdf?arnumber=9956791

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis;IEEE Intelligent Systems;2024-03

2. Self-Supervised Teaching and Learning of Representations on Graphs;Proceedings of the ACM Web Conference 2023;2023-04-30

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