First-order PDES for Graph Neural Networks: Advection And Burgers
Equation Models
First-order PDES for Graph Neural Networks: Advection And Burgers
Equation Models
Graph Neural Networks (GNNs) have established themselves as the preferred methodology in a multitude of domains, ranging from computer vision to computational biology, especially in contexts where data inherently conform to graph structures. While many existing methods have endeavored to model GNNs using various techniques, a prevalent challenge they grapple …