时       间：2021-01-22 (Fri)  10:00

地       点：华严502会议室、腾讯会议

主  讲  人 : 周川

会议秘书：

报告时间：2021年1月22日（星期五）上午 10:00–11:30

报告地点：华严北里甲22号楼502会议室

腾讯会议：468 349 072

报告嘉宾：周川（中科院数学院）

报告题目：Graph Neural Network: An Introduction and Some Recent Works

报告人简介：

周川，中科院数学院副研究员，博士生导师，中科院青促会会员，CCF高级会员。研究方向为社交网络分析与图挖掘，发表论文80余篇，授权专利6项。曾获2014年度中科院优秀博士学位论文奖、ICCS-14最佳论文奖、IJCNN-17最佳学生论文奖。承担2项国家自然科学基金、3项国家重点研发计划子课题。多次担任KDD、AAAI、IJCAI、ICDM、SDM等国际会议的SPC/PC，担任JCR二区期刊IEEE Access副主编，是IEEE TKDE、ACM TKDD等国内外有影响学术期刊的审稿人。

附：周川老师的主页：http://www.chuanzhou.online/

报告摘要：

Learning with graph structured data, such as social, biological, and financial networks, requires effective representation of their graph structure. Recently, there has been a surge of interest in Graph Neural Network (GNN) approaches for graph representation learning. GNN generalizes neural network (CNN) from low-dimensional regular grids, where image, video and speech are represented, to graph structure data. To date, GNN has been successfully applied to many noteworthy applications, such as node classification, link prediction, recommendation and traffic prediction. This speech will mainly review the GNN with the background, emerging challenges, basic concepts, state-of-the-art algorithms, and some of our recent works.

请各位老师和同学准时参加！