Graph and Network Mining: A 15 Years Journey

---------------------------------------------------------------------
                Joint Seminar
---------------------------------------------------------------------
The Hong Kong University of Science & Technology
Department of Computer Science and Engineering
Big Data Institute
---------------------------------------------------------------------

Speaker:        Professor Jian Pei
                Simon Fraser University
                Canada

Title:          "Graph and Network Mining: A 15 Years Journey"

Date:           Wednesday, 12 June 2019

Time:           2:00pm - 3:00pm

Venue:          Lecture Theater H (near lift no. 27/28), HKUST

Abstract:

As graph and network mining being a hot topic nowadays, in this talk, I
will present a brief review of 15 years research in my group on this
important topic. I will talk about how we started from building graph
databases and graph indexes in 2004, and discuss the topics we researched
including graph construction, graph databases, specialized graph databases
(e.g., geographical networks and social networks), graph query answering,
pattern mining in graphs, information flow and influence analysis on
graphs, privacy preservation in social networks, machine learning on
graphs from conventional classification and clustering to network
embedding. From this narrow and relatively short memoir, I will try to
summarize some experience and lessons learned on how to enter a new
direction, which may be interesting and informative for graduate students
and researchers.


**************
Biography:

Jian Pei is a Professor in the School of Computing Science, Simon Fraser
University, Canada. He is renowned for his productive research in the
general areas of data science, big data, data mining, and database
systems. He has published prolifically and his publications have been
cited over 84 thousand times. He is recognized as an ACM Fellow and an
IEEE Fellow and several prestigious awards. In his recent leave-of-absence
from the university, he acted as a Vice President of JD.com and a
Technical VP of Huawei Technology. He has extensive experience in industry
R&D, strategy consulting, and business operation.