Home Call for Papers Invited Speakers Submission Registration Accepted Papers Dates Schedule Organization Sponsors Past Workshops Contact Accepted Papers Comparing Generalizations of Unweighted Network Measures Sherief Abdallah and Habab Musa   A Framework for Hypothesis Learning Over Sets of Vectors Karim Abou-Moustafa and Frank Ferrie   All-at-once Optimization for Coupled Matrix and Tensor Factorizations Evrim Acar, Tamara Kolda and Daniel Dunlavy   Evaluating Markov Logic Networks for Collective Classification Robert Crane and Luke Mcdowell   Graph Based Statistical Analysis of Network Traffic Hristo Djidjev, Gary Sandine, Curtis Storlie and Scott Vander Wiel   Compression versus Frequency for Mining Patterns and Anomalies in Graphs William Eberle and Lawrence Holder   Learning from Plane Graphs Thomas Fannes and Jan Ramon   Bayesian Optimal Active Search on Graphs Roman Garnett, Yamuna Krishnamurthy, Donghan Wang, Jeff Schneider and Richard Mann   Can’t See Forest through the Trees? Understanding Mixed Network Traffic Graphs from Application Class Distribution Yu Jin, Nick Duffield, Patrick Haffner, Subhabrata Sen and Zhi-Li Zhang   Graph Classification via Topological and Label Attributes Geng Li, Murat Semerci, Bülent Yener and Mohammed Zaki   Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data Frank Lin and William W. Cohen   Building a Semantic Graph based on Sequential Language Model for Topic-Sensitive Content Extraction Yan Liang, Ying Liu   Small Network Segmentation with Template Guidance Kristin Lui and Ian Davidson   Generating Similar Graphs from Spherical Features Dalton Lunga and Sergey Kirshner   Predicting Dynamic Difficulty Olana Missura and Thomas Gartner   Mining Differential Hubs in Homogenous Networks Omar Odibat and Chandan K. Reddy   Integrating Logic Knowledge into Graph Regularization: an application to image tagging Claudio Sacca, Michelangelo Diligenti, Marco Gori and Marco Maggini   Exploring Co-Occurrence on a Meso and Global Level Using Network Analysis and Rule Mining Maximilian Schich and Michele Coscia   Transductive Classification Methods for Mixed Graphs Sundararajan Sellamanickam and Sathiya Keerthi   Graph Mining of Motif Profiles For Computer Network Activity Inference William Turkett, Errin Fulp, Charles Lever and Edward Allan   Understanding Propagation Error and Its Effect on Collective Classification Rongjing Xiang and Jennifer Neville   Visualizing the Temporal Evolution of Dynamic Networks Kevin Xu, Mark Kliger and Alfred Hero