Network Controllability Robustness Learning via Spatial Graph Neural Networks-Reference-Cited by-同舟云学术

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Network Controllability Robustness Learning via Spatial Graph Neural Networks

Published:2024-09 Issue:5 Volume:11 Page:4045-4058
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

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

Affiliation:

1. Adaptive Networks and Control Lab, Department of Electronic Engineering, 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/ielx7/6488902/10637788/10506535.pdf?arnumber=10506535

Reference51 articles.

1. Fundamentals of Complex Networks

2. Breakdown of the Internet under Intentional Attack

3. An efficient method of robustness analysis for power grid under cascading failure

4. Minimizing the Consequences of Intentional Attack on Water Infrastructure

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