Studies from Xidian University in the Area of Intelligent Systems Described (Inf luence maximization under imbalanced heterogeneous networks via lightweight rein forcement learning with prior knowledge)
Studies from Xidian University in the Area of Intelligent Systems Described (Inf luence maximization under imbalanced heterogeneous networks via lightweight rein forcement learning with prior knowledge)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on intelligent systems are disc ussed in a new report. According to news originatingfrom Xidian University by N ewsRx correspondents, research stated, “Influence Maximization (IM) standsas a central challenge within the domain of complex network analysis, with the primar y objective ofidentifying an optimal seed set of a predetermined size that maxi mizes the reach of influence propagation.Over time, numerous methodologies have been proposed to address the IM problem.”
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