85 citations · 458 across the 12 of their papers we have counts for
4 papers · 1 filter
A Learning Convolutional Neural Network Approach for Network Robustness Prediction
Yang Lou, Ruizi Wu, Junli Li +3
Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect h…
Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition
Yang Lou, Lin Wang, Kim Fung Tsang +1
To better understand the correlation between network topological features and the robustness of network controllability in a general setting, this paper suggests a practical approa…
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
Yang Lou, Yaodong He, Lin Wang +1
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 a…
Toward Stronger Robustness of Network Controllability: A Snapback Network Model
Yang Lou, Lin Wang, Guanrong Chen
A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clusterin…