Posted on by Cristina Venitucci

Workshop on Graph Learning

Overview

A workshop on Graph Learning will be held at LINCS on May 14th, 2018.

The objective of this workshop is to bring together people from industry and academia for presenting and discussing the most recent learning techniques based on graphs, from both theoretical and practical perspectives.

The workshop will cover the following aspects:

  • Graph clustering
  • Topic detection
  • Recommendation systems
  • Graph-based classification
  • Link prediction
  • Graph alignment
  • Social networks
  • Dynamic graphs
  • Graph signal processing

Speakers

Talks

9h – 10h30

Multimodal graph clustering for music recommendation,
Alexis Benichoux (Deezer),

Analysis of temporal interactions with link streams,
Matthieu Latapy (CNRS / UPMC),

On the performance of a canonical labeling for matching correlated Erdos-Rényi graphs,
Matthias Grossglauser (EPFL),

11h – 12h30

Collective insurance fraud detection via network analysis,
Eric Sibony (Shift Technology),

The many facets of community detection
Renaud Lambiotte (University of Oxford),

Modularity for soft graph clustering
Alexandre Hollocou (Inria),

14h00 – 15h30

Building and exploiting large graphs connecting images
Matthijs Douze (Facebook),

On graph reconstruction via empirical risk minimization
Stephan Clémençon (Telecom ParisTech),

Hierarchical clustering: Objective functions and algorithms
Vincent Cohen-Addad (CNRS / UPMC),

16h – 17h30

On finding dense subgraphs and events in social media,
Oana Balalau (Max-Planck Institute),

Topic detection and classification in Twitter
Dimitrios Milioris (Nokia Bell Labs),

Online influence maximization,
Michal Valko (Inria),

Organizers