Graph Neural Networks and Applied Linear Algebra

21 October 2023

Papers citing "Graph Neural Networks and Applied Linear Algebra"

6 / 6 papers shown

Title
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems Rui-Qi Li Song Wang Chen Wang AI4CE 67 0 0 10 Dec 2024
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs Farrukh A. Chishtie Dominique Brunet Rachel H. White Daniel Michelson Jing Jiang ... Timothy Chui Rana Usman Ali Mujtaba Hassan Roland Stull David Hudak 57 1 0 20 Nov 2024
Learning incomplete factorization preconditioners for GMRES Paul Hausner Aleix Nieto Juscafresa Jens Sjölund 54 3 0 12 Sep 2024
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 44 7 0 25 May 2023
Learning Interface Conditions in Domain Decomposition Solvers Ali Taghibakhshi Nicolas Nytko Tareq Uz Zaman S. MacLachlan Luke N. Olson Matthew West AI4CE 25 11 0 19 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 59 39 0 16 May 2022