Tenth workshop on Mining and Learning with Graphs (MLG-2012).

Edinburg, July 1st, 2012

Co-located with ICML-2012

The goal of this workshop will be to structure and explore the state-of-the-art algorithms and methods, to examine graph-based models in the context of real-world applications, and to identify future challenges and issues. In particular we are interested in the following topics:

• Relationships between mining and learning with graphs and statistical relational learning
• Relationships between mining and learning with graphs and inductive logic programming
• Relationships between mining and learning with graphs and algorithmic graph theory and related fields
• Kernel methods for structured data
• Probabilistic models for structured data
• Graph mining
• (Multi-)relational data mining
• Methods for structured outputs
• Network analysis
• Large-scale learning and applications
• Sampling issues in graph algorithms
• Evaluation of graph algorithms
• Graph mining benchmarks and datasets
• Applications of graph mining in real world domain

We invite both full papers presenting new contributions and short papers describing work in progress or open problems.

Full papers should be at most 8 pages (ICML format), short papers and open problem statements at most 3 pages.

Papers can be submitted online via EasyChair

Authors whose papers were accepted to the workshop will have the opportunity to give a short presentation at the workshop as well as present their work in a poster session.