A learning convolutional neural network approach for network robustness prediction

Y Lou, R Wu, J Li, L Wang, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network robustness is critical for various societal and industrial networks against malicious
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …

Classification-based prediction of network connectivity robustness

Y Lou, R Wu, J Li, L Wang, CB Tang, G Chen - Neural Networks, 2023 - Elsevier
Today, there is an increasing concern about malicious attacks on various networks in society
and industry, against which the network robustness is critical. Network connectivity …

Network robustness prediction: Influence of training data distributions

Y Lou, C Wu, J Li, L Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Network robustness refers to the ability of a network to continue its functioning against
malicious attacks, which is critical for various natural and industrial networks. Network …

A convolutional neural network approach to predicting network connectedness robustness

Y Lou, R Wu, J Li, L Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To quantitatively measure the connectedness robustness of a complex network, a sequence
of values that record the remaining connectedness of the network after a sequence of node …

Knowledge-based prediction of network controllability robustness

Y Lou, Y He, L Wang, KF Tsang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network controllability robustness (CR) reflects how well a networked system can maintain
its controllability against destructive attacks. Its measure is quantified by a sequence of …

Structural Robustness of Complex Networks: A Survey of A Posteriori Measures [Feature]

Y Lou, L Wang, G Chen - IEEE Circuits and Systems Magazine, 2023 - ieeexplore.ieee.org
Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …

Predicting network controllability robustness: A convolutional neural network approach

Y Lou, Y He, L Wang, G Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Network controllability measures how well a networked system can be controlled to a target
state, and its robustness reflects how well the system can maintain the controllability against …

QRE: quick robustness estimation for large complex networks

S Wandelt, X Sun, M Zanin, S Havlin - Future Generation Computer …, 2018 - Elsevier
Robustness estimation is critical for the design and maintenance of resilient networks.
Existing studies on network robustness usually exploit a single network metric to generate …

[HTML][HTML] Controllability robustness of complex networks

G Chen - Journal of Automation and Intelligence, 2022 - Elsevier
This article presents an overview on the state-of-the-art development in complex network
controllability and its robustness against malicious attacks and random failures. Specifically …

Measuring and improving the core resilience of networks

R Laishram, AE Sariyüce, T Eliassi-Rad… - Proceedings of the …, 2018 - dl.acm.org
The concept of k-cores is important for understanding the global structure of networks, as
well as for identifying central or important nodes within a network. It is often valuable to …