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calendar icon Jul 4, 2008 videos icon 21 videos
6th International Workshop on Mining and Learning with Graphs (MLG), Helsinki 2008

6th International Workshop on Mining and Learning with Graphs (MLG), Helsinki 2008

Driven by application areas ranging from biology to the World Wide Web, research in Data Mining and Machine Learning is nowadays increasingly focusing on the analysis of structured data. Of particular interest is data that consists of interrelated parts or is characterized by collections of objects that are interrelated and linked together into complex graphs and structures. Following in the footsteps of the highly successful MLG workshops in the past, MLG 2008 again will be the premier forum for bringing together different sub-disciplines within Machine Learning and Data Mining that focus on the analysis of structured data. The workshop is actively seeking contributions dealing with all forms of structured data, including but not limited to graphs, trees, sequences, relations and networks.

Contributions are invited from all relevant disciplines, such as for example

  • Statistical Relational Learning
  • Inductive Logic Programming
  • Kernel Methods for Structured Data
  • Probabilistic Models for Structured Data
  • Graph Mining
  • (Multi-)relational Data Mining
  • Methods for Structured Outputs
  • Network Analysis

Session 1

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28:46

Inferring the structure and scale of modular networks

Jake M. Hofman

calendar icon Aug 25, 2008 3529 views

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27:31

Combining near-optimal feature selection with gSpan

Marisa Thoma

calendar icon Aug 25, 2008 3914 views

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26:45

Representative Subgraph Sampling using Markov Chain Monte Carlo Methods

Karsten Michael Borgwardt

calendar icon Aug 25, 2008 5014 views

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18:47

Min, Max and PTIME Anti-Monotonic Overlap Graph Measures

Dries Van Dyck

calendar icon Aug 25, 2008 3115 views

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57:17

Four graph partitioning algorithms

Fan Chung

calendar icon Aug 25, 2008 5692 views

Session 2

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54:09

Influence and Correlation in Social Networks

Mohammad Mahdian

calendar icon Aug 25, 2008 10548 views

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26:48

An Online Algorithm for Learning a Labeling of a Graph

Kristiaan Pelckmans

calendar icon Aug 25, 2008 3113 views

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31:01

Classification in Graphs using Discriminative Random Walks

Jerome Callut

calendar icon Aug 25, 2008 4542 views

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29:18

Induction of Node Label Controlled Graph Grammar Rules

Hendrik Blockeel

calendar icon Aug 25, 2008 4414 views

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14:21

Poster Spotlights

calendar icon Aug 25, 2008 2673 views

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29:46

A New Kernel for Classification of Networked Entitiess

Dell Zhang

calendar icon Aug 25, 2008 3094 views

Session 3

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59:43

Structured Output Prediction with Structural SVMs

Thorsten Joachims

calendar icon Aug 25, 2008 24365 views

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27:50

Structure and tie strengths in a mobile communication network

Jari Saramaki

calendar icon Aug 25, 2008 4215 views

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32:18

Improved Software Fault Detection with Graph Mining

Frank Eichinger

calendar icon Aug 25, 2008 4642 views

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37:41

Efficient Discriminative Training Method for Structured Predictions

Huizhen Yu

calendar icon Aug 25, 2008 3456 views

Session 4

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50:43

Biomine search engine for probabilistic graphs

Hannu Toivonen

calendar icon Aug 25, 2008 2978 views

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26:05

Markov Logic Improves Protein β-Partners Prediction

Marco Lippi

calendar icon Aug 25, 2008 3168 views

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21:33

A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Dis...

Arthur Gretton

calendar icon Aug 25, 2008 4916 views

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26:26

Infinite mixtures for multi-relational categorical data

Janne Sinkkonen

calendar icon Aug 25, 2008 3034 views

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23:09

Parameter Learning in Probabilistic Databases: A Least Squares Approach

Bernd Gutmann

calendar icon Aug 25, 2008 2989 views

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06:04

Opening Remarks

Samuel Kaski

calendar icon Aug 25, 2008 2856 views

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