Welcome to the eleventh annual Graph Exploitation Symposium (GraphEx), taking place on the 29th and 30th of April, 2020. The symposium brings together leading experts from universities, industry, and government to explore the state of the art and define a future roadmap in network science. This year's symposium will focus on learning in the presence of adversaries. Particular emphases will be given to social influences and (adversarial) learning on graphs. In order to provide an interactive environment and promote strong interaction among the attendees, the event will be limited to a small group of invited attendees and will take place at the remotely located MIT Endicott House.
Symposium Highlights
As part of the two-day technical program, topics of interest include:
- Learning in the presence of adversaries
- Social influences
- Attributed and semantic networks
- Inference under noise and uncertainty
- Models and techniques for dynamic, heterogeneous networks
- Analysis of anomalous, covert and hidden communities
- Network visualization and visual analytics
- Systems and architectures for large scale data
- Challenges from various applications including bio, cyber and social domains
Symposium Organizers
Chairs
Rajmonda Caceres / MIT Lincoln Laboratory
William Streilein / MIT Lincoln Laboratory
Technical Co-Chairs
Edoardo Airoldi / Temple & Harvard University
Edward Kao / MIT Lincoln Laboratory
Jason Matterer / MIT Lincoln Laboratory
Lin Li / MIT Lincoln Laboratory
Technical Committee
Nadya Bliss / Arizona State University
Robert Bond / MIT Lincoln Laboratory
Johan Ugander / Stanford University
Jordan Crouser / Smith College
Timothy Dasey / MIT Lincoln Laboratory
Benjamin Miller / MIT Lincoln Laboratory
Alexander Volfovsky / Duke University
Christopher Long / U.S. Department of Defense
David Martinez / MIT Lincoln Laboratory
Ali Pinar / Sandia National Laboratories
Steven Smith / MIT Lincoln Laboratory