Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks-Reference-Cited by-同舟云学术

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Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

Published:2023 Issue: Volume: Page:1-15
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 Chuang¹^ORCID,Ma Xueqi²^ORCID,Zhan Yibing³,Ding Liang³^ORCID,Tao Dapeng⁴^ORCID,Du Bo¹,Hu Wenbin¹^ORCID,Mandic Danilo P.²^ORCID

Affiliation:

1. School of Computer Science, Wuhan University, Wuhan, China

2. Department of Electrical Engineering, Imperial College London, London, U.K.

3. JD Explore Academy, Beijing, China

4. School of Information Science and Engineering and the Yunnan Key Laboratory of Media Convergence, Yunnan University, Kunming, China

Funder

Major Science and Technology Innovation 2030 “New Generation Artificial Intelligence” Key Project

National Natural Science Foundation of China

Artificial Intelligence Innovation Project of Wuhan Science and Technology Bureau

Science and Technology Major Project of Hubei Province

EC Grant NANOMAT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10164013.pdf?arnumber=10164013

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