School of Computer Science Distinguished Lecture: Jure Leskovec, “Next-generation Algorithms for Network Data"

Event Details
  • Date/Time:
    • Friday January 20, 2017
      2:00 pm - 3:00 pm
  • Location: Tech Square Research Building, 85 Fifth St., Atlanta, GA
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    Free
  • Extras:
Contact

Kenya Payton

Sr. Administrator Assistant to the SCS Chair

kenya.payton@cc.gatech.edu

Summaries

Summary Sentence: SCS Spring Distinguished Lecture from Jure Leskovec, Associate Professor, Stanford University Department of Computer Science

Full Summary: No summary paragraph submitted.

Media
  • Jure Leskovec Jure Leskovec
    (image/jpeg)

Abstract:

Networks are a fundamental tool for understanding and modeling complex systems in physics, biology, neuro, and social sciences. Current network algorithms are almost exclusively focusing on first-order, or edge-based, structures in networks. However, what is missing from the picture are methods for analyzing higher-order organization of complex networks. We present a generalized framework for a network clustering and classification based on higher-order network connectivity patterns. This framework allows for identifying higher-order clusters in networks as well as for learning features of nodes in a network. Our framework scales to networks with billions of edges and provides mathematical guarantees on the optimality of obtained results. We apply our framework to networks from a variety of scientific domains with scales ranging from a few hundred to over one billion links.

Bio:

Jure Leskovec is an associate professor of Computer Science at Stanford University where he researches mining and modeling large social and information networks, their evolution, the diffusion of information, and its influence over these networks. In addition to his work at Stanford, Leskovec also serves as the chief scientist at Pinterest, focusing on machine learning problems for the popular social media platform. 

Computation over massive data is at the heart of Leskovec’s research and has applications in computer science, social sciences, economics, marketing, and health care. This research has won several awards, including a Lagrange Prize, a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. 

Leskovec received his bachelor’s degree in computer science from the University of Ljubljana, Slovenia, and his Ph.D. in machine learning from Carnegie Mellon University. He conducted his postdoctoral training at Cornell University.

Additional Information

In Campus Calendar
Yes
Groups

College of Computing, School of Computer Science

Invited Audience
Faculty/Staff, Public, Undergraduate students, Graduate students
Categories
Seminar/Lecture/Colloquium
Keywords
School of Computer Science, SCS, stanford university, distinguished lecture
Status
  • Created By: Devin Young
  • Workflow Status: Published
  • Created On: Jan 12, 2017 - 10:33am
  • Last Updated: Apr 13, 2017 - 5:13pm