Individual Files

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