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 measured by the time-consuming attack simulation, which returns a sequence of values that record the remaining connectivity and con...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2023-10, Vol.70 (10), p.1-13
Hauptverfasser:	Wu, Chengpei, Lou, Yang, Wang, Lin, Li, Junli, Li, Xiang, Chen, Guanrong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Complex network Controllability convolutional neural network Convolutional neural networks Costs Graph neural networks Image edge detection Neural networks prediction Robustness Size measurement spatial pyramid pooling
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