Towards Processing of Big Graphs: from Theory, Algorithm to System (Invited Talk)
Xuemin Lin · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2016
Graphs are very important parts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications such as bioinformatics, web search, social network, road network, etc. Over the last decade, tremendous research efforts have been devoted to many fundamental problems in managing and analysing graph data. In this talk, I will present some of our recent research efforts in processing big graphs including scalable processing theory and techniques, distributed computation, and system framework.