KCDS Summer School on Graph Neural Networks | Sep 21-25, 2026 in Karlsruhe

We are excited to announce the KCDS Summer School on Graph Neural Networks
(GNNs) taking place at KIT in Karlsruhe from September 21–25, 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 

 

  [email protected]

 

KIT – The University in the Helmholtz Association

  www.kit.edu



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