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GraphEx2022

2014 Workshop Proceedings

Individual Files

  • GraphEx Proceedings 2014
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Presentations

Day One

  • Keynote - Tree-like Structure in Social Graphs - Michael J. Mahoney
  • Covert and Anomalous Network Discovery and Detection (CANDiD) - Rajmonda S. Caceres
  • Community Detection in Random Networks - Ery Arias-Castro
  • Sampling and Streaming Algorithms for Counting Small Patterns in Large Graphs - Ali Pinar
  • Network Security and Contagion - Asu Ozdaglar
  • Discovering Roles in Graphs: Algorithms and Applications - Tina Eliassi-Rad
  • On Finding Planted Cliques in Random Graphs - Lev Reyzin
  • VizLinc - Kara Greenfield
  • Making Diffusion Work for You - B. Aditya Prakash
  • Commute Times, Concentration, Discrete Green's Functions, and Kernel Regression on Graph'ish Data - Chris Long

Day Two

  • Keynote - Organization & Structure of Communities in Graphs - Jure Leskovec
  • Probabilistic Inference in Big Graphs: Patterns, Techniques, & Tools - Lise Getoor
  • Topic-Factorized Ideal Point Estimation Model for Legislative Voting Network - Yizhou Sun
  • Large-Scale Graph Mining: Theory and Practice - Vahab Mirrokni
  • Spectral Appraoches for Learning Hidden Structure - Sham M. Kakade
  • Graphs and Manifold Learning in Neuroimaging - Georg Langs
  • The GraphBLAS Standard Effort - Jeremy Kepner
  • Graph Explorations at Scale: Processing Trillions of Edges per Second with Single Source Shortest Paths - Fabrizio Petrini
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No. FA8702-15-D-0001.Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Under Secretary of Defense for Research and Engineering.
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