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From July 7–11, I had the opportunity to attend LOGML25 Summer School, a highly selective program focusing on the intersection of mathematics, geometry, topology, and their role in Machine Learning. Coming from an engineering background, I found it particularly enriching to deepen my understanding of mathematical concepts that I can now integrate into my research.

As part of the program, I worked on a project entitled Iterative Reasoning in Graph Neural Networks for Drug Repurposing. This was a valuable chance to apply GNNs to a practical task and, importantly, to step outside my comfort zone by exploring applications in biology and medicine—fields I had not previously worked in. Updates on this project will be shared soon!

The Summer School also offered the opportunity to present my latest preprint, Early-Exit Graph Neural Networks, during the poster session.

From 30 June to 5 July 2025, i had the chance to attend IJCNN25 in Rome as my first time as an author. Having 3 accepted papers at the conference, i had more than one occasion to present my work in front of an audience. I presented 

• Link Prediction with Physics-Inspired Graph Neural Networks;

• GATSY: Music Artist Similarity with Graph Attention Networks;

• IJCNN 2025 Competition: Learning with noisy graph labels;

Beyond presenting, the conference was a great opportunity to discover cutting-edge research and engage in valuable networking with fellow researchers.