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First Workshop on the Intersection of Graph Algorithms and Machine Learning

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Views: 763                 

When :  2017-06-02

Where :  Florida,USA

Submission Deadline :  2017-01-27

Categories :   Algorithms ,  Machine Learning      

Untitled Document

First Workshop on the Intersection of Graph Algorithms and Machine Learning (GraML 2017)

Orlando, Florida,USA

June 02, 2017

Call for Papers :

We are experiencing an exponential growth in the number of proposed graph and machine learning solutions for a variety of problems. With explosive growth come claims and counterclaims as to which approach---graph or machine learning---is best. In some cases, old problems are recast in the alternate approach in the hope of finding a better solution; while in other cases, an approach is chosen to solve a new problem without a sound theoretical basis for success.

Topics of Interest :

* Clarify the domain of problems best solved by graphs and those best solved by machine learning approaches,

* Formulate a sound theoretical basis for choosing among approaches,

* Identify analytic workloads requiring multiple approaches, and

* Evaluate the performance and scalability of integrated platforms for graph methods and machine learning.

IMPORTANT DATES

  • Position or full paper submission :   January 27,2017
  • Notification of acceptance :  February 24,2017
  • Camera-ready copy :  March 15,2017
  • Workshop : June 2 ,2017

    User Name : jerish
    Posted 23-11-2016 on 10:01:24 AEDT


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