Program
Download or print summer school program from here.
Day 1 - Monday, September 7, 2020
8:30-8:45 Welcome and introduction to summer school (Sven Lončarić, Vinko Zlatić)
Vinko Zlatić, Senior Research Associate, Ruđer Bošković Institute, Zagreb, Croatia
8:45-10:15 Fundamentals of network science
10:15-10:30 Q&A session with coffee break
Tiago Peixoto, Associate Professor of Network and Data Science at the Central European University, Budapest, Hungary
10:30-12:00 Statistical inference of large-scale network structures
12:00-13:30 Lunch break
13:30-15:30 Network reconstruction from indirect measurements and dynamics
Day 2 - Tuesday, September 8, 2020
Ingo Scholtes, Full Professor, Faculty of Mathematics and Natural Sciences, Bergische Universität Wuppertal, Germany
8:45-10:15 Higher-order models for temporal networks
10:15-10:30 Coffee break
Vincenzo Perri, Research Assistant, Department of Informatics, University of Zurich
10:30-12:00 Hands-on session: Data science with python and introduction to pathpy
12:00-13:30 Lunch break
13:30-15:30 Hands-on session: Network science and Higher-Order Network Analysis with pathpy
Day 3 - Wednesday, September 9, 2020
Morning session:
Tiago Peixoto, Associate Professor of Network and Data Science at the Central European University, Budapest, Hungary
8:45-10:15 A Network approach to topic models
10:15-10:30 Q&A with coffee break
10:30-12:30 Hands-on session: The graph-tool Python module for network analysis
12:30 - 13:30 Lunch
Afternoon session:
Nino Antulov-Fantulin, Senior Researcher, ETH Zurich, Switzerland
13:30-15:00 The interface of Complexity and Data Science
15:00-15:15 Q&A with coffee break
Day 4 - Thursday, September 10, 2020
Morning session:
Alain Barrat, Senior Researcher at the Centre de Physique Théorique, Marseille, France
10:30-12:00 Finding structures in temporal graphs
12:00-12:15 Q&A with coffee break
Afternoon session:
Danai Koutra, Morris Wellman Assistant Professor, Computer Science and Engineering, University of Michigan
13:30 - 15:00 Large-scale graph mining: Network summarization and beyond
15:00 - 15:15 Q&A session with coffee break
15:15 - 16:15 Hands-on session: Embedding-based multi-network analysis at scale
16:15 - 16:30 Q&A session with coffee break
16:30 - 17:30 Hands-on session: Pattern and anomaly mining in large, evolving graphs
Day 5 - Friday, September 11, 2020
Morning session:
Xavier Bresson, Associate Professor in Computer Science, NTU, Singapore
8:45 - 9:45 (CET) Graph Convolutional Networks - Spectral Techniques
9:45 - 10:00 (CET) Q&A session with 'coffee break'
10:00 - 11:00 (CET) Graph Convolutional Networks - Spatial Techniques (w/ a PyTorch hands-on session included)
11:00 - 11:15 (CET) Q&A session with 'coffee break'
11:15 - 12:00 (CET) Benchmarking Graph Neural Networks
12:00 - 13:30 Lunch
Afternoon sessions:
Hermina Petric Maretić, Ecole Polytechnique Fédérale de Lausanne, Signal Processing Laboratory (LTS4)
13:30-15:00 Representing graphs through data: Graph learning and Optimal transport
15:00-15:15 Q&A with coffee break
Nima Dehmamy, Research Assistant Professor, CSSI, Kellogg School of Management, Northwestern University, USA
15:15 - 16:45 From brain to epidemics: The power and limitations of graph neural networks
16:45 - 17:00 Q&A with coffee break
17:00 Closing address (Sven Lončarić, Tomislav Šmuc)