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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
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