Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification-Reference-Cited by-同舟云学术

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Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification

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:

Gong Maoguo¹^ORCID,Zhou Hui¹^ORCID,Qin A. K.²^ORCID,Liu Wenfeng¹,Zhao Zhongying³^ORCID

Affiliation:

1. School of Electronic Engineering, Xidian University, Xi’an, China

2. Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

3. School of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

Funder

National Natural Science Foundation of China

Australian Research Council

Taishan Scholar Program of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09738732.pdf?arnumber=9738732

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