A Graph Transformer-Driven Approach for Network Robustness Learning-Reference-Cited by-同舟云学术

A Graph Transformer-Driven Approach for Network Robustness Learning

Published:2024-05 Issue:5 Volume:71 Page:1992-2005
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Zhang Yu¹^ORCID,Li Jia¹^ORCID,Ding Jie¹^ORCID,Li Xiang²^ORCID

Affiliation:

1. Department of Electronic Engineering, Adaptive Networks and Control Laboratory, School of Information Science and Engineering, Fudan University, Shanghai, China

2. Institute of Complex Networks and Intelligent Systems, Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Shanghai Sailing Program

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/10510354/10416744.pdf?arnumber=10416744

Reference58 articles.

1. Fundamentals of Complex Networks

2. Controllability of complex networks

3. Exact controllability of complex networks

4. Controllability of Deep-Coupling Dynamical Networks

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. Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05

2. A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network;IEEE Transactions on Cybernetics;2024