We are excited to announce the KCDS Summer School on Graph Neural Networks (GNNs) taking place at KIT in Karlsruhe from September 2125, 2026. The program will cover fundamental concepts as well as practical applications of graph-based machine learning for real-world problems. Together with our speakers, we have designed a mix of lectures and hands-on tutorials. They are complemented by opportunities for networking through a conference dinner and a poster session. We are pleased to welcome an outstanding group of speakers: * Jan Stühmer (HITS, KIT) Introduction to GNNs, including a practical session, and Equivariance as Design Principle in Modern Machine Learning * Ismail Ilkan Ceylan (TU Vienna, AITHYRA) Graph Foundation Models * Joel Oskarsson (ETH) GNNs for Spatio-Temporal Modelling and Earth System Modelling * Arghya Bhowmik (DTU) GNNs for Material Sciences To join us, register by June 30th via: https://indico.kit.edu/e/kcdssummer2026 We look forward to welcoming you! The Organizers: Michael Crocoll, Kristof Kraus, Lina Rennstich and Leonard Vetter -- Karlsruhe Institute of Technology (KIT) - KIT Center MathSEE - Angela Hühnerfuß KIT Graduate School Computational and Data Science Coordination Office www.kcds.kit.edu Kaiserstr. 12 D-76131 Karlsruhe Tel.: +49 721-608 47748 angela.huehnerfuss@kit.edu KIT The University in the Helmholtz Association www.kit.edu ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************