Machine learning dynamical phase transitions in complex networks
Machine learning dynamical phase transitions in complex networks
In recent years, machine learning has been adopted to complex networks, but most existing works concern about the structural properties. To use machine learning to detect phase transitions and accurately identify the critical transition point associated with dynamical processes on complex networks thus stands out as an open and significant …