主讲人：祝园园

主讲人简介：祝园园，女，副教授，博士生导师，武汉大学我院副教授。现为中国计算机学会数据库专委会执行委员，ACM SIGMOD China专委会委员。主要研究方向为图数据管理与分析，图机器学习，大数据计算与分析等，目前已国内外学术期刊和会议上发表论文30余篇，包括The VLDB Journal、TKDE、 VLDB、ICDE、CIKM、EDBT、DASFAA、BIBM等等。主持多项国家及省部级科研项目，包括国家自然科学基金面上项目两项和青年项目1项、湖北省自然科学基金基面上2项和青年项目1项、苏州市科技发展计划项目等。担任国内外顶级期刊和学术会议IEEE Transactions on Knowledge and Data Engineering、World Wide Web Journal、International Journal of Cooperative Information System、Data Science and Engineering、软件学报、计算机学报等审稿人。担任 ICDM International Workshop on Graph Analytics 2018以及ACM SIGMOD China Forum 2018的程序委员会主席。担任VLDB、ICDE、KDD、AAAI、IJCAI、SIGIR、CIKM、WSDM、 DSAFAA、PAKDD等30多个著名国际会议的程序委员会委员。

报告摘要：Graph is a powerful tool for modeling structural relationships between data objects in many application domains. In many real-world applications, finding cohesive subgraphs is an essential way to understand real-world graph data. In this talk, first, I will introduce recent cohesive graph models including k-core and k-truss, and the state-of-the-art methods. Then, I will share our recent progress on cohesive subgraph search, including finer grained community search, location based on community search, and keyword based community search.

时间：2022.11.25，上午10:00

地点：腾讯会议：145-538-018