Analyzing Graphs: Theory and Applications
Whistler, BC, Canada
December 12, 2008
A workshop in conjunction with the 22nd Annual Conference on Neural Information Processing Systems
Recent research in machine learning and statistics has seen the proliferation of computational methods for analyzing graphs and networks. These methods support progress in many application areas, including the social sciences, biology, medicine, neuroscience, physics, finance, and economics.
This workshop will address statistical, methodological and computational issues that arise when modeling and analyzing graphs. The workshop aims to bring together researchers from applied disciplines such as sociology, economics, medicine and biology with researchers from mathematics, physics, statistics and computer science. Different communities use diverse ideas and mathematical tools; our goal is to foster cross-disciplinary collaborations and intellectual exchange.
We welcome the following types of papers:- Research papers that introduce new models or apply established models to novel domains,
- Research papers that explore theoretical and computational issues, or
- Position papers that discuss shortcomings and desiderata of current approaches, or propose new directions for future research.
All submissions will be peer-reviewed; exceptional work will be considered for oral presentation. We encourage authors to emphasize the role of learning and its relevance to the application domains at hand. In addition, we hope to identify current successes in the area, and will therefore consider papers that apply previously proposed models to novel domains and data sets.
Submissions should be 4-to-8 pages long, and adhere to NIPS format (see style files). Please email your submissions to: nipsgraphs2008@yahoo.com.
Format: This is a one-day workshop. The program will feature invited talks, poster sessions, poster spotlights, and a panel discussion. All submissions will be peer-reviewed; exceptional work will be considered for oral presentation.
Publication: Accepted papers will be distributed on a CD and made available for download. We are negotiating the publication of the accepted papers in print form.
Important Dates:
- Deadline for Submissions: Friday, October 31, 2008
- Notification of Decision: Tuesday, November 18, 2008
- Workshop: Saturday/Sunday, December 12, 2008
Organizers:
- Edo Airoldi, Princeton University, eairoldi (at) princeton.edu
- David Blei, Princeton University, blei (at) cs.princeton.edu
- Jake Hofman, Yahoo! Research, hofman (at) yahoo-inc.com
- Tony Jebara, Columbia University, jebara (at) cs.columbia.edu
- Eric Xing, Carnegie Mellon University, epxing (at) cs.cmu.edu
Program Committee:
- David Banks (Duke University)
- Peter Bearman (Columbia University)
- Joseph Blitzstein (Harvard University)
- Kathleen Carley (Carnegie Mellon University)
- Aaron Clauset (Santa Fe Institute)
- William Cohen (Carnegie Mellon University)
- Stephen Fienberg (Carnegie Mellon University)
- Lise Getoor (University of Maryland)
- Peter Hoff (University of Washington)
- Eric Horvitz (Microsoft Research)
- Alan Karr (National Institute of Statistical Sciences)
- Jure Leskovec (Cornell University)
- Kevin Murphy (University of British Columbia)
- Eugene Stanley (Boston University)
- Lyle Ungar (Universitoy of Pennsylvania)
- Chris Wiggins (Columbia University)
- Paolo Frasconi (Universita degli Studi di Firenze)
- Jonathan Chang (Princeton University)