posted by organizer: shobeir || 2218 views || tracked by 9 users: [display]

MLG 2017 : 13th International Workshop on Mining and Learning with Graphs

FacebookTwitterLinkedInGoogle


Conference Series : Mining and Learning with Graphs
 
Link: http://www.mlgworkshop.org/2017/
 
When Aug 14, 2017 - Aug 14, 2017
Where Halifax, Nova Scotia, Canada
Submission Deadline May 26, 2017
Notification Due Jun 16, 2017
Final Version Due Jun 25, 2017
Categories    graph mining   data mining   complex networks   network science
 

Call For Papers

13th International Workshop on Mining and Learning with Graphs (MLG 2017)
August 14, 2017 - Halifax, Nova Scotia, Canada (co-located with KDD 2017)
http://www.mlgworkshop.org/2017/
Submission Deadline: May 26, 2017

This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so we aim to better understand the overarching principles and the limitations of our current methods, and to inspire research on new algorithms and techniques for mining and learning with graphs.

To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis, to algorithms and implementation, to applications and empirical studies. In terms of application areas, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. Social media analytics is a fertile ground for research at the intersection of mining graphs and text. As such, this year we especially encourage submissions on theory, methods, and applications focusing on the analysis of social media.

Topics of interest include, but are not limited to:

Theoretical aspects:
* Computational or statistical learning theory related to graphs
* Theoretical analysis of graph algorithms or models
* Sampling and evaluation issues in graph algorithms
* Analysis of dynamic graphs
* Relationships between MLG and statistical relational learning or inductive logic programming

Algorithms and methods:
* Graph mining
* Kernel methods for structured data
* Probabilistic and graphical models for structured data
* (Multi-) Relational data mining
* Methods for structured outputs
* Statistical models of graph structure
* Combinatorial graph methods
* Spectral graph methods
* Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graph

Applications and analysis:
* Analysis of social media
* Social network analysis
* Analysis of biological networks
* Knowledge graph construction
* Large-scale analysis and modeling

We invite the submission of regular research papers (6-8 pages) as well as position papers (2-4 pages). Authors whose papers are accepted to the workshop will have the opportunity to participate in a poster session, and some set may also be chosen for oral presentation.

Submission instructions can be found on
http://www.mlgworkshop.org/2017/

Please send enquiries to chair@mlgworkshop.org

To receive updates about the current and future workshops and the Graph Mining community, please join the Mailing List ( https://groups.google.com/d/forum/mlg-list ) , or follow the Twitter Account ( https://twitter.com/mlgworkshop ).

Related Resources

ETHE Blearning 2017   Blended learning in higher education: research findings
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
SDM 2018   SIAM International Conference on Data Mining
ACM--ICCIP 2017   ACM--2017 the 3rd International Conference on Communication and Information Processing (ICCIP 2017)--Ei Compendex, ISI Web of Science and Scopus
ICPR 2018   24th International Conference on Pattern Recognition
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”
IEEE - ICKEA 2017   IEEE--2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA 2017)--Ei Compendex and Scopus
IEA/AIE 2018   Industrial, Engineering & Other Applications Applied Intelligent Systems
HIIJ 2017   Health Informatics: An International Journal