Seminar on Discrete Mathematics: Graph Neural Network for Graph Theory

：林宇清（澳大利亚纽卡斯尔大学）
：2023-06-30 16:00
：海韵园数理大楼686会议室

报告人：林宇清（澳大利亚纽卡斯尔大学）

时  间：2023年6月30日下午16:00

地  点：海韵园数理大楼686会议室

内容摘要:

In this talk, we will first introduce some basic concepts in Deep Learning, including Recurrent Neural Network, Convolutional Neural Network, and then review some latest development in Deep Learning. Lately, there are many advanced Deep Learning approaches have been developed and gain huge attention. I will discuss how Deep Learning could assist research in Graph Theory using Graph Neural network, and show some experimental work that I have conducted.

个人简介：

林宇清，澳大利亚the University of Newcastle, school of information and physical sciences副教授，博士生导师，集美大学讲座教授。从事图论及计算机科学研究，涉及到图的连通度，匹配理论，及算法设计和机器学习等。已在JGT, TCS, DM, DAM等杂志发表学术论文70篇，特别是在笼的连通性研究方面有一系列深刻的研究成果。

 

联系人：金贤安