List of accepted papers

Talks

ID	Title	Primary Contact Author
2	A New Kernel for Classification of Networked Entities	Zhang, Dell
6	Efficient Discriminative Training Method for Structured Predictions	Yu, Huizhen
7	Representative Subgraph Sampling using Markov Chain Monte Carlo Methods	Borgwardt, Karsten
9	Combining near-optimal feature selection with gSpan	Borgwardt, Karsten
10	Infinite mixtures for multi-relational categorical data	Sinkkonen, Janne
11	Parameter Learning in Probabilistic Databases: A Least Squares Approach	Gutmann, Bernd
13	Structure and tie strengths in a mobile communication network	Saramäki, Jari
18	Induction of Node Label Controlled Graph Grammar Rules	Blockeel, Hendrik
19	Classification in Graphs using Discriminative Random Walks	Françoisse, Kevin
20	Min, Max and PTIME Anti-Monotonic Overlap Graph Measures	Van Dyck, Dries
21	Improved Software Fault Detection with Graph Mining	Eichinger, Frank
23	Markov Logic Improves Protein β-Partners Prediction	Frasconi, Paolo
28	Comparing Diffusion Models for Graph--Based Semi--Supervised Learning	Galstyan, Aram
31	A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery	Blaschko, Matthew
43	Inferring the structure and scale of modular networks	Hofman, Jake
44	An Online Algorithm for Learning a Labeling of a Graph	Pelckmans , Kristiaan

ID	Title	Primary Contact Author
3	Mining Common Semantic Patterns from Descriptions of Failure Knowledge	Kraines, Steven
4	A graph-theoretic approach for reducing one-versus-one multi-class classification to ranking	Waegeman, Willem
5	The skew spectrum of graphs	Kondor, Risi
8	Probabilistic models for the dynamics of tree-structured data	Dalvi, Nilesh
12	Randomization Techniques for Statistical Significance Testing on Graphs	Hanhijärvi, Sami
15	The All-Paths Covariance: a new covariance measure between nodes of a weighted, directed, graph	Mantrach, Amin
17	Scalable Algorithms for Structured Output Prediction	Vembu, Shankar
24	Mining music graphs through immanantal polynomials	Pinto, Alberto
27	CPT-L: an Efficient Model for Relational Stochastic Processes	Thon, Ingo
32	Mining graphs to discover new theorems in mathematics	Desrosiers, Christian
33	Graph Theoretic Measures for Identifying Affective Blockers of Spreading Processes in Dynamic Networks	Habiba, Habiba
34	A Structured-Outputs Method for Prediction of Protein Function	Sokolov, Artem
37	Prediction of Molecular Substructures from Mass Spectrograms Using Constraint Based Clustering	Drouillon, Pieter-Jan
38	A Method to extend Existing Document Clustering Procedures in order to include Relational Information	Witsenburg, Tijn
39	High-Order Regularization on Graphs	Zhou, Dengyong
41	A structured outputs method for predicting protein binding sites	Hamilton, Michael
42	Combining Optimal and Atomic Decomposition of Terminology Association Graphs	Meurs, Marie-Jean