Adaptive Graph Neural Networks for Cosmological Data Generalization: Abstract and Intro

Deep learning meets cosmological data with Domain Adaptive Graph Neural Networks for robust parameter extraction.

This paper is available on arxiv under CC 4.0 license.

Authors: Andrea Roncoli, Department of Computer, Science ; Aleksandra Ciprijanovi´c´, Computational Science and AI Directorate and Department of Astronomy and Astrophysics ; Maggie Voetberg, Computational Science and AI Directorate, ; Francisco Villaescusa-Navarro, Center for Computational Astrophysics ; Brian Nord, Computational Science and AI Directorate, Fermi National Accelerator Laboratory, Department of Astronomy and Astrophysics and Kavli Institute for Cosmological Physics .

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