The goal of this repository is to get familiar with graph neural networks. In this repository, a simplified version of the recurrent relational network proposed in this paper is implemented. Each ...

Solving Maxwell’s equations, a set of four fundamental equations that define electromagnetism and optics, is fundamental to every task in computational photonics. Solving these equations for modern ...

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...

Abstract: The multicut problem, also known as correlation clustering, is a classic combinatorial optimization problem that aims to optimize graph partitioning given only node (dis)similarities on ...

Solving for currents of an electrical circuit with resistances and batteries has always been the ultimate test of proper understanding of Kirchoff’s rules. Yet, it is hardly ever emphasized that a ...