Antonio Longa
Job description
I am a postdoctoral researcher working at the intersection of machine learning and network science. My research focuses on relational deep learning, with an emphasis on graph neural networks, temporal networks, and explainability. I aim to bridge theoretical foundations with real-world applications in complex systems, including energy and materials science.
Research interests
Graph neural networks, temporal networks, relational deep learning, explainable AI, and complex systems, with applications to real-world domains such as energy and materials science.
CV
Antonio Longa is a postdoctoral researcher in machine learning and network science. He obtained his Ph.D. in Information and Communication Technology from the University of Trento (2023). His research focuses on graph neural networks, temporal networks, and explainable AI. His work has been published in top venues such as NeurIPS, ICML, and ICLR