no code implementations • 22 Feb 2024 • Andrea Giuseppe Di Francesco, Francesco Caso, Maria Sofia Bucarelli, Fabrizio Silvestri
Physics-Inspired GNNs such as GRAFF provided a significant contribution to enhance node classification performance under heterophily, thanks to the adoption of physics biases in the message-passing.
no code implementations • 1 Jun 2023 • Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri
It is recognized as the preferred lens through which to study complex systems, offering a framework that can untangle their intricate dynamics.