学术空间

数学与统计及交叉学科前沿论坛------高端学术讲座第96场

讲座题目Learn to solve dominating set problem with graph neural networks

讲座时间2023.11.16(周四)1500-1600

讲座地点:腾讯会议:266-403-053

主讲人:何伟骅

主讲内容

  The idea using neural networks to solve combinatorial optimization problems has been shown to be effective and time-saving in recent years. Inspired by these studies, we train a neural network by DDQN to solve dominating set problem. To better capture the features and structure of the graph, we use a message passing network for the graph representation. We validate our model on graphs of different sizes, and even on real-world networks

主讲人简介

  何伟骅,博士,副教授,广东工业大学bat365官网登录入口副院长,2008年本科毕业于中国科学技术大学,2014年博士毕业于法国巴黎第十一大学,主要从事图论及其应用、组合优化算法、机器学习的研究工作,主持国家自然科学基金和省部级项目多项。