The Computational Network Science group headed by Michael Schaub is part of the Computer Science Department at RWTH Aachen University within the Faculty of Mathematics, Computer Science and Natural Sciences.
The research interests of our group are broad, but have one common denominator: the use of networks to analyse a variety of systems and data. See the Research page for more details, or click on one of the topics below.
We are happy to announce the HOOC workshop on higher-order networks. Attendance is free! Go to https://conf.netsci.rwth-aachen.de for more information and registration.
Network analysis has revolutionized our understanding of complex systems, and graph-based methods have emerged as powerful tools to process signals on non-Euclidean domains via graph signal processing and graph neural networks. However, graphs are ill-equipped to encode multi-way and higher-order relations – features that are essential to understanding many systems such as group-dynamics in social systems, multi-gene interactions in genetic data, or multi-way drug interactions.
Accordingly, there is a need for new analytical methods to address the challenges of higher-order data, and a growing body of work in this direction. With this workshop, we especially want to explore current challenges which arise when bridging theory and data. This means on the one hand discussing what higher-order methods have already been used with real-world data, and on the other hand, what challenges currently prevent modelling systems with higher-order interactions.
The workshop will take place from the 11th to the 13th of August 2025. We look forward to welcoming you in Aachen, Germany!
Ahornstraße 55
52074 Aachen
Phone: +49 241 80-21490
EMail: schaub@cs.rwth-aachen.de
We are located on the 1st floor of E2, Computer Science Center