During the MVA masters at ENS Paris-Saclay, I worked with people from MILA, and we published our article Improving Molecular Modeling with Geometric GNNs: an Empirical Study in a ICML 2024 workshop.
At the end of my 2nd year at Polytechnique, I did a 3 months-research internship at STMicroelectronics, working on Reinforcement learning using GNNs. The application was to help human designers size analog electronic circuits. The article Reinforcement Learning for Analog Sizing Optimization mentions me in the acknowledgements. I you do not have an IEEE account, I can send you the pdf file by e-mail.