3rd Workshop on Graph Neural Networks for Neutrino Telescope Event Reconstruction

This is the third workshop dedicated to GraphNeT – Graph neural networks for neutrino telescope event reconstruction. The goal is to bring together researchers working at the intersection of neutrino telescope experiments and machine learning to discuss the latest progress and develop new solutions to physics challenges using graph neural networks (GNNs).

Target group: Participants will be active researchers at the intersection of neutrino and astroparticle physics and machine learning, primarily from the IceCube, KM3NeT, and P-ONE experiments. Participants are expected to be MSc and PhD students, postdocs and junior faculty.