SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks-Reference-Cited by-同舟云学术

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SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks

Published:2024 Issue: Volume: Page:1-14
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Lu Weigang¹^ORCID,Zhan Yibing²^ORCID,Lin Binbin³,Guan Ziyu¹^ORCID,Liu Liu⁴^ORCID,Yu Baosheng⁴^ORCID,Zhao Wei¹^ORCID,Yang Yaming¹^ORCID,Tao Dacheng⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Xidian University, Xi'an, China

2. JD Explore Academy, Beijing, China

3. School of Software Technology, Zhejiang University, Hangzhou, China

4. School of Computer Science, The University of Sydney, Sydney, NSW, Australia

5. Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Innovation Capability Support Program of Shaanxi

High-Performance Computing Platform of Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/10497904.pdf?arnumber=10497904

Cited by 1 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. AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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