These utility functions are ideal for demonstration as they comprise a number of different graph-based subproblems, and thus demonstrate the usefulness of our method over a wide range.

Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose iterative ...

title={Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems}, author={Gao, Han and Zahr, Matthew J and Wang, Jian-Xun}, ...