Multi-View and Multi-Order Structured Graph Learning-Reference-Cited by-同舟云学术

Multi-View and Multi-Order Structured Graph Learning

Published:2023 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Rong¹^ORCID,Wang Penglei²^ORCID,Wu Danyang³^ORCID,Sun Zhensheng⁴,Nie Feiping²^ORCID,Li Xuelong¹^ORCID

Affiliation:

1. OPtics and ElectroNics (iOPEN) and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, China

2. the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China

3. State Key Laboratory for Manufacturing Systems Engineering and the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China

4. Zhijian Laboratory, Rocket Force University of Engineering, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10154258.pdf?arnumber=10154258

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