Posters

Clustering Networks By Structures
X. Xu, N. Yuruk, T. Schweiger
Link Prediction for Question-Answering Bulletin Boards
T. Murata, S. Moriyasu
Higher Order Statistics in Play-out Analysis
T. Raiko
Homogeneity Evaluation and Seed Selection in Clustering Graph-Connected Spatial Data
A. Appice, A. Lanza, D. Malerba, A. Varlaro
Task Instance Classification via Graph Kernels
M. Kroll, A.S. Rath, N. Weber, S. Lindstaedt, M. Granitzer
Augmenting the Distributed Evaluation of Path Queries with Information Granules
D, Bacciu, A, Botta, S. Stefanesc
Stratified Conjugate Gradient Boosting
B. Gutmann, K. Kersting
Entire Regularization Paths for Graph Data
K. Tsuda
Mining Frequent Most Informative Subgraphs
F. Pennerath, A. Napoli
Using Clustering Trees for Learning Phylogenetic Trees
C. Vens, H. Blockeel
On the Robustness of Semi-Supervised Hierarchical Graph Clustering in Functional Genomics
J. Kraus, G. Palm, H. Kestler
Web Graph Parameters and the Pagerank Distribution
Y. Volkovich, N. Litvak, D. Donato
Distributed Relational State Representation for Complex Stochastic Processes
I. Thon, K. Kersting
Comparative Evaluation of PL Languages and Systems - a Work-in-Progress Report
M. Jaeger, P. Lidman, J. L.Mateo
Transductive Rademacher Complexities for Learning Over a Graph
K. Pelckmans, J.A.K. Suyken
Semidefinite Ranking on Graphs
S. Vembu, T. Gaertner, S. Wrobel
Graphs, Hypergraphs, and Inductive Logic Programming
H. Blockeel, T. Witsenburg, J. Kok
Unsupervised Learning of Graph Languages using Kernels
C. Costa Florencio
Clustering With Constraints Using Graph Based Approach
H. Elghazel, K. Benabdeslem, A. Dussauchoy
Closed and Maximal Tree Mining Using Natural Representation
J. L. Balcazar, A. Bifet, A. Lozano
A Graph-based Approach for Dynamic Clustering
H. Elghazel, H. Kheddouci, V. Deslandres, A. Dussauchoy
Prediction of Molecular Substructures from Mass Spectrograms
P.J. Drouillon, H. Blockeel
Transductive Ranking via Pairwise Regularized Least-Squares
Pahikkala, H. Suominen, J. Boberg, T. Salakoski
Classification Methods for Structured Outputs
D. Sona, P. Avesani, N. Polettini
What is Frequent in a Single Graph?
B. Bringmann, S. Nijssen
Semi-Supervised Active Learning in Graphical Domains
A. Pucci, M. Gori, M. Maggini