5. MLG 2007: Firenze, Italy

Paolo Frasconi, Kristian Kersting, Koji Tsuda (Eds.): Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings. 2007 BibTeX

Session 1

Pierre Baldi:
Learning and Charting Chemical Space with Strings and Graphs: Challenges and Opportunities for AI and Machine Learning.
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Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel:
Efficient Closed Pattern Mining in Strongly Accessible Set Systems.
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Ulf Brefeld, Thoralf Klein, Tobias Scheffer:
Support Vector Machines for Collective Inference.
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Thomas Gärtner, Gemma C. Garriga:
The Cost of Learning Directed Cuts.
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Kaspar Riesen, Stefan Fankhauser, Horst Bunke:
Speeding Up Graph Edit Distance Computation with a Bipartite Heuristic.
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Luc De Raedt:
ProbLog and its Application to Link Mining in Biological Networks.
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Manfred Jaeger, Petr Lidman, Juan L. Mateo:
Comparative Evaluation of PL languages.
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Kristiaan Pelckmans, Johan A. K. Suykens:
Transductive Rademacher Complexities for Learning Over a Graph.
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Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok:
Graphs, Hypergraphs, and Inductive Logic Programming.
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Yana Volkovich, Nelly Litvak, Debora Donato:
Web Graph Parameters and the Pagerank Distribution.
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Shankar Vembu, Thomas Gärtner, Stefan Wrobel:
Semidefinite Ranking on Graphs.
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Davide Bacciu, Alessio Botta, Dan Stefanescu:
Augmenting the Distributed Evaluation of Path Queries on Data-Graphs with Information Granules.
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Jiawei Han:
Mining, Indexing, and Searching Graphs in Large Data Sets.
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Mathias Fiedler, Christian Borgelt:
Support Computation for Mining Frequent Subgraphs in a Single Graph.
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Jan Ramon, Siegfried Nijssen:
General Graph Refinement with Polynomial Delay.
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Christian Desrosiers, Philippe Galinier, Pierre Hansen, Alain Hertz:
Improving Frequent Subgraph Mining in the Presence of Symmetry.
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Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi:
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs.
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Lise Getoor:
Graph Identification.
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Shawndra Hill, Foster J. Provost, Chris Volinsky:
Learning and Inference in Massive Social Networks.
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Jianzhong Chen, Stephen Muggleton, Jose Santos:
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning.
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Karsten M. Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans-Peter Kriegel:
An Efficient Sampling Scheme For Comparison of Large Graphs.
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Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models.
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Alex J. Smola:
Learning Graph Matching.
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Janne Sinkkonen, Janne Aukia, Samuel Kaski:
Inferring Vertex Properties from Topology in Large Networks.
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Leander Schietgat, Jan Ramon, Maurice Bruynooghe:
A Polynomial-time Metric for Outerplanar Graphs.
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Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis.
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Thomas Gärtner:
Efficient Kernel Methods for Graphs.
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Leonid Kontorovich:
A Universal Kernel for Learning Regular Languages.
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