Classification-based prediction of network connectivity robustness
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 …
and industry, against which the network robustness is critical. Network connectivity …
A learning convolutional neural network approach for network robustness prediction
Network robustness is critical for various societal and industrial networks against malicious
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
Spp-cnn: An efficient framework for network robustness prediction
This paper addresses the robustness of a network to sustain its connectivity and
controllability against malicious attacks. This kind of network robustness is typically …
controllability against malicious attacks. This kind of network robustness is typically …
CNN-based prediction of network robustness with missing edges
C Wu, Y Lou, R Wu, W Liu, J Li - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Connectivity and controllability of a complex network are two important issues that
guarantee a networked system to function. Robustness of connectivity and controllability …
guarantee a networked system to function. Robustness of connectivity and controllability …
A convolutional neural network approach to predicting network connectedness robustness
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 …
of values that record the remaining connectedness of the network after a sequence of node …
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 …
malicious attacks, which is critical for various natural and industrial networks. Network …
Knowledge-based prediction of network controllability robustness
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 …
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]
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 …
attacks, which has various meanings in different research contexts and here it refers to the …
Comprehensive analysis of network robustness evaluation based on convolutional neural networks with spatial pyramid pooling
Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …
been evaluated traditionally through time-consuming and often impractical simulations …
Predicting network controllability robustness: A convolutional neural network approach
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 …
state, and its robustness reflects how well the system can maintain the controllability against …