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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Jeffrey N. Clark

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#graph neural networks Open access Sep 2026

GATES-Background 0.2.0: Emulating background greenhouse gas mole fractions for regional atmospheric inverse modelling with graph neural networks

Abstract. Regional atmospheric trace gas inverse modelling frameworks depend on accurately simulating mole fractions, which result from transporting surface fluxes within a domain and carrying mole fractions into the region from its boundaries. With the aim of improving the computational efficiency of inverse modelling...

Nawid Keshtmand, Elena Fillola, Jeffrey N. Clark et al. · 0 citations
#graph neural networks Open access Sep 2026

GATES: A Graph-Neural-Network Atmospheric Transport Emulation System

WIP release of the new version of GATES, including GATES-Background, the new boundary condition emulation work. Check the How To doc for info on setting up and running the boundary model with the training script, and see the folder with the trained model weights.

Elena Fillola, Jeffrey N. Clark, Nawid Keshtmand · 0 citations

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