A two-step pipeline of a graph recurrent network and a graph denoising diffusion model learns to generate stochastic discrete karst networks from subgraphs of two mapped cave systems, reproducing most geometric and topological metrics except tortuosity.
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A Deep Generative Model for the Simulation of Discrete Karst Networks
A two-step pipeline of a graph recurrent network and a graph denoising diffusion model learns to generate stochastic discrete karst networks from subgraphs of two mapped cave systems, reproducing most geometric and topological metrics except tortuosity.