Program

Thursday, March 9, 2023

Time Event (+)
09:45 - 10:00 Opening remarks - Introduction to the workshop  
10:00 - 11:00 (Invited talk) The stochastic blockmodel for clustering nodes in graphs and hypergraphs - Catherine Matias (Building A - Plenary Room) - Catherine Matias
 
11:00 - 12:00 Contributed talks (Building A - Plenary Room) (+)  
11:00 - 11:20 › DIGRAC: Digraph Clustering Based on Flow Imbalance - Yixuan He, University of Oxford
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11:20 - 11:40 › SSSNET: Semi-Supervised Signed Network Clustering - Yixuan He, University of Oxford
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11:40 - 12:00 › Machine learning meets false discovery rate: application to graph anomaly detection - Ariane Marandon-Carlhian, Laboratoire de Probabilités, Statistique et Modélisation
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12:00 - 13:30 Lunch break  
13:30 - 14:30 (Invited talk) Opportunities and challenges of graph learning in biomedicine - Pietro Lio (Building A - Plenary Room) - Pietro Lio
 
14:30 - 15:30 Contributed talks (Building A - Plenary Room) (+)  
14:30 - 14:50 › 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
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14:50 - 15:10 › 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
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15:10 - 15:30 › MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian - Yixuan He, University of Oxford
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15:30 - 16:00 Coffee break (Building A - Plenary Room)  
16:00 - 17:00 (Invited talk) Learning distances for attributed graphs with optimal transport- Pierre Borgnat (Building A - Plenary Room) - Pierre Borgnat
 
17:00 - 18:00 Contributed talks (Building A - Plenary Room) (+)  
17:00 - 17:20 › Transductive Kernels for Gaussian Processes on Graphs - Yin-Cong Zhi, University of Oxford [Oxford]
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17:20 - 17:40 › Learning Label Initialization for Time-Dependent Harmonic Extension - Amitoz Azad, Université de Caen Normandie
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17:40 - 18:00 › Dynamic Ranking and Translation Synchronization - Eglantine Karlé, INRIA
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Friday, March 10, 2023

Time Event (+)
09:00 - 10:00 (Invited talk) Ranking from pairwise comparisons: a near-linear time minimax optimal algorithm for learning BTL weights - Julien Hendrickx (Building A - Plenary Room) - Julien Hendrickx
 
10:00 - 10:30 Coffee break (Building A - Plenary Room)  
10:30 - 11:30 Contributed talks (Building A - Plenary Room) (+)  
10:30 - 10:50 › Curvature-GAT : Improve graph attention with local structural information - Stephane Chretien, Université Lyon 2
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10:50 - 11:10 › Non Parametric and Semi-Parametric Modeling of a Sequence of Graphs for Testing Abnormality: Application to Cybersecurity - Clarisse Boinay, Inria Lille - Nord Europe
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11:10 - 11:30 › Trust and scalability through randomized communication graphs - Jan Ramon, INRIA-Lille
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11:30 - 12:30 (Invited talk) Graph matching: from fundamental limits to algorithms - Marc Lelarge (Building A - Plenary Room) - Marc Lelarge
 
12:30 - 14:00 Lunch break  
14:00 - 15:00 (Invited talk) Learning in graphs with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature - Stephane Chretien (Building A - Plenary Room) - Stephane Chretien
 
15:00 - 16:00 Contributed talks (Building A - Plenary Room) (+)  
15:00 - 15:20 › Graph Neural Networks and Optimal Transport for Distance Learning between Graphs - Aldo Moscatelli, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes
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15:20 - 15:40 › Large population limits of Markov processes on random networks - Marvin Lücke, Zuse Institute Berlin
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15:40 - 16:00 › Temporal network compression via network hashing - Rémi Vaudaine, Réseaux dynamiques : approche structurelle et temporelle
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Online user: 2 Privacy
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