Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams not involved in an Inria International Labs

• Program: Inria North-European Labs

• Project acronym: RSS

• Project title: Rankings and Similarities in Signed graphs

• Duration: late 2015 to late 2017

• Partners: Aristides Gionis (Data Mining Group, Aalto University, Finland) and Mark Herbster (Centre for Computational Statistics and Machine Learning, University College London, UK)

• Abstract: The project focuses on predictive analysis of networked data represented as signed graphs, where connections can carry either a positive or a negative semantic. The goal of this associate team is to derive novel formal methods and machine learning algorithms towards link classification and link ranking in signed graphs and assess their performance in both theoretical and practical terms.

Inria International Partners

Informal International Partners

We have started a collaboration with Fei Sha (University of California, Los Angeles) on the topic of representation learning for Natural Language Processing, materialized by the submission of a proposal to the 2016 call of the Inria Associate Teams program.