Problem of the Week
BUGCAT
Zassenhaus Conference
Hilton Memorial Lecture
BingAWM
Math Club
Actuarial Association
Data Science Seminar
Hosted by Department of Mathematical Sciences
Abstract
Graph Data Science (or in short: GDS) aims to provide an integrated analysis of two types of data structures that encompass a large portion of important data science applications arise frequently in science, technology, and society: [D1] Graph-structured data: where the observed data takes the form of an ‘organic’ graph with given pairwise connections. Examples: social network, World Wide Web (WWW), recommendation systems, telecommunication network etc. [D2] Data-graph: such graphs are ‘constructed’ from the given data. Examples: high-dimensional data, image data, computer vision etc. In this talk, I will explore some recent progress in the direction of developing a theoretical foundation and unified algorithms for GDS.