[Colloq] Network Science Institute Distinquished Lecture: "Collective Graph Identification" | Speaker: Professor Lise Getoor, University of California Santa Cruz | Tuesday April 12, 2016 at 4:00 pm, 177 Huntington Ave 11th floor

Walker, Lashauna la.walker at neu.edu
Mon Apr 11 14:07:17 EDT 2016


NETSI Distinguished Speaker Series

Title: Collective Graph Identification

Speaker: Professor Lise Getoor, University of California Santa Cruz

Date & Time: Tuesday April 12, 2016 at 4:00 pm

Location: 177 Huntington Ave 11th floor

Note: Please bring your Northeastern ID (or other photo ID) when entering the building

Abstract: Graph data (e.g., communication data, financial transaction networks, data describing biological systems, collaboration networks, the Web,
etc.) is ubiquitous. While this observational data is useful, it is usually noisy, often only partially observed, and only hints at the actual underlying social, scientific or technological structures that give rise to the interactions. For example, an email communication network provides useful insight, but is not the same as the "real"
social network among individuals. In this talk, I introduce the problem of graph identification, i.e., the discovery of the true graph structure underlying an observed network.  This involves inferring the nodes, edges, and node labels of a hidden graph based on evidence provided by the observed graph.  I show how this can be cast as a collective probabilistic inference task and describe a scalable approach to solving this problem.

Short Bio: Lise Getoor is a professor in the Computer Science Department at the University of California, Santa Cruz.  Her research areas include machine learning, data integration and reasoning under uncertainty, with an emphasis on graph and network data. She has over 200 publications and extensive experience with machine learning and probabilistic modeling methods for graph and network data. She is a Fellow of the Association for Artificial Intelligence, an elected board member of the International Machine Learning Society, serves on the board of the Computing Research Association (CRA), and was co-chair for ICML 2011.  She is a recipient of an NSF Career Award and ten best paper and best student paper awards.  She received her PhD from Stanford University in 2001, her MS from UC Berkeley, and her BS from UC Santa Barbara, and was a professor in the Computer Science Department at the University of Maryland, College Park from 2001-2013.



Thank You.

LaShauna Walker
Events and Administrative Specialist
College of Computer and Information Science
Northeastern University
617-373-2763
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