A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs-Reference-Cited by-同舟云学术

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A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs

Published:2023 Issue: Volume: Page:1-11
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Zou Chunya¹,Han Andi¹^ORCID,Lin Lequan¹,Li Ming²^ORCID,Gao Junbin¹^ORCID

Affiliation:

1. Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Camperdown, Sydney, NSW, Australia

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/9184921/10255266.pdf?arnumber=10255266

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. A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis;IEEE Transactions on Artificial Intelligence;2024-09

2. SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks;IEEE/CAA Journal of Automatica Sinica;2024-07

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