Statistical learning on large scale graphs

Opening remarks

Introduction to the workshop

(Invited talk) The stochastic blockmodel for clustering nodes in graphs and hypergraphs - Catherine Matias

Building A - Plenary Room

Catherine Matias

https://statlearngraph23.sciencesconf.org/data/program/Matias_Abstract_Slides.pdf

Contributed talks

Building A - Plenary Room

› DIGRAC: Digraph Clustering Based on Flow Imbalance - Yixuan He, University of Oxford 11:00-11:20 (20min)

› SSSNET: Semi-Supervised Signed Network Clustering - Yixuan He, University of Oxford 11:20-11:40 (20min)

› Machine learning meets false discovery rate: application to graph anomaly detection - Ariane Marandon-Carlhian, Laboratoire de Probabilités, Statistique et Modélisation 11:40-12:00 (20min)

Lunch break

(Invited talk) Opportunities and challenges of graph learning in biomedicine - Pietro Lio

Building A - Plenary Room

Pietro Lio

https://statlearngraph23.sciencesconf.org/data/program/Pietro_Lio_talk.pdf

Contributed talks

Building A - Plenary Room

› Adding semantic to level-up graph-based Android malware detection - Roxane Cohen, Laboratoire dánalyse et modélisation de systèmes pour láide à la décision, CEntre de REcherches en MAthématiques de la DEcision 14:30-14:50 (20min)

› Graph Neural Network go grammatical - Jason Piquenot, Laboratoire dÍnformatique Fondamentale et Appliquée de Tours, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes 14:50-15:10 (20min)

› MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian - Yixuan He, University of Oxford 15:10-15:30 (20min)

Coffee break

Building A - Plenary Room

(Invited talk) Learning distances for attributed graphs with optimal transport- Pierre Borgnat

Building A - Plenary Room

Pierre Borgnat

https://statlearngraph23.sciencesconf.org/data/program/Pierre_Borgnat_Abstract_Slides.pdf

Contributed talks

Building A - Plenary Room

› Transductive Kernels for Gaussian Processes on Graphs - Yin-Cong Zhi, University of Oxford [Oxford] 17:00-17:20 (20min)

› Learning Label Initialization for Time-Dependent Harmonic Extension - Amitoz Azad, Université de Caen Normandie 17:20-17:40 (20min)

› Dynamic Ranking and Translation Synchronization - Eglantine Karlé, INRIA 17:40-18:00 (20min)