学术报告
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面向二部图的社区搜索和可达性查询技术
浏览次数:日期:2021-12-23编辑:科研办

报告人: 王凯, 新南威尔士大学 计算机科学与工程学院 博士后


报告时间:2021年12月24日 (星期五) 下午15:00 - 16:00


报告地点:Zoom在线会议

https://us02web.zoom.us/j/2810019605?pwd=ZzlqRU4zOGZ5TkJYUm9KQlBDcDZwUT09

会议号:281 001 9605

密码:HNU2021

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报告摘要:Relationships between two different types of entities are modeled as bipartite graphs, such as customer-product networks, user-page networks, gene co-expression networks and collaboration networks. This talk focuses on two important problems on bipartite graphs, community search and reachability query. Firstly, a new model for discovering communities on bipartite graphs is introduced, which is based on the concept of (alpha, beta)-core. Indexes are devised according to the nested property of (alpha, beta)-cores for efficiently searching the communities. Secondly, the reachability problem on temporal bipartite graphs is studied. A 2-hop labeling-based index is proposed to improve the query performance. Extensive experiments on real-world bipartite graphs demonstrate the effectiveness and efficiency of the proposed techniques.


报告人简介:王凯,新南威尔士大学,计算机科学与工程学院,博士后。于2020年新南威尔士大学获得博士学位。 主要研究方向为大数据处理、管理和分析。已在数据库顶级会议(如SIGMOD、PVLDB和ICDE)和期刊(如VLDBJ和TKDE)发表论文20余篇。目前是KDD、ICDE、WSDM和CIKM等数据库权威会议的PC member,2022年PVLDB的web chair。  


邀请人:李肯立


联系人:周旭