Connectionists: CFP :: NIPS 09 workshop on Analyzing Networks and Learning with Graphs

[Edoardo Airoldi]

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                         CALL FOR PAPERS

            Analyzing Networks and Learning with Graphs

                  a workshop in conjunction with

  23nd Annual Conference on Neural Information Processing Systems
                           (NIPS 2009)

   December 11 or 12, 2009 (exact date TBD) Whistler, BC, Canada

            http://snap.stanford.edu/nipsgraphs2009/

        Deadline for Submissions: Friday, October 30, 2009
        Notification of Decision: Monday, November 9, 2009

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Overview:
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Recent research in machine learning and statistics has seen the  
proliferation of computational methods for analyzing networks and  
learning with graphs. These methods support progress in many  
application areas, including the social sciences, biology, medicine,  
neuroscience, physics, finance, and economics.

The primary goal of the workshop is to actively promote a concerted  
effort to address statistical, methodological and computational issues  
that arise when modeling and analyzing large collection of data that  
are largely represented as static and/or dynamic graphs. To this end,  
we aim at bringing together researchers from applied disciplines such  
as sociology, economics, medicine and biology, together with  
researchers from more theoretical disciplines such as mathematics and  
physics, within our community of statisticians and computer  
scientists. Different communities use diverse ideas and mathematical  
tools; our goal is to to foster cross-disciplinary collaborations and  
intellectual exchange.

Presentations will include novel graph models, the application of  
established models to new domains, theoretical and computational  
issues, limitations of current graph methods and directions for future  
research.


Online Submissions:
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We welcome the following types of papers:

1. Research papers that introduce new models or apply established  
models to novel domains,

2. Research papers that explore theoretical and computational issues, or

3. 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
(http://nips.cc/PaperInformation/StyleFiles). Please email your
submissions to: nipsgraphs2009 at gmail.com

Deadline for Submissions: Friday, October 30, 2009
Notification of Decision: Friday, November 6 2009


Workshop Format:
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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. More details about the program will be  
announced soon.


Organizers:
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Edo Airoldi, Harvard University
Jure Leskovec, Stanford University
Jon Kleinberg, Cornell University
Josh Tenenbaum, MIT


Thank you, we look forward to receiving your submissions!

Edo, Jure, Jon & Josh