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: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...

AI now generates more than 50% of the world’s code, and growing. The tooling that catches what that code breaks in production was not made to keep up with that speed of delivery. NodeSource, the ...