FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel.

arXiv:2610.04212v1 Announce Type: cross Abstract: Graph Neural Operators (GNOs) provide flexible surrogate models for learning solution operators of partial differential equations (PDEs). However, standard GNOs typically parameterize the integral kernel with a