Learning continuous-time PDEs from sparse data with graph neural networks

Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki

The behavior of many dynamical systems follow complex, yet still unknown partial differential equations (PDEs). While several machine learning methods have been proposed to learn P…