Graph neural networks

Concat-tree genetic programming for graph neural architecture search: Efficient materials property classification toward high-throughput screening

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Concat-tree genetic programming for graph neural architecture search: Efficient materials property classification toward high-throughput screening Maciej Krzywda*1, Mariusz Wermiński2, Szymon Łukasik1, Amir H. Gandomi3 1AGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland. 2AGH University of Krakow, Faculty of Metals Engineering and Industrial Computer Science, al. … Read more

Artificial intelligence-enhanced algebraic multigrid for 3D finite element simulations

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Artificial intelligence-enhanced algebraic multigrid for 3D finite element simulations Damian Goik, Krzysztof Banaś* AGH University of Krakow, al. Mickiewicza 30, 30-059 Krakow, Poland. *corresponding author DOI: https://doi.org/10.7494/cmms.2026.1.1039 Abstract: The paper presents preliminary investigations into a strategy for solving linear systems resulting from 3D finite element simulations, based on the algebraic multigrid (AMG) method, enhanced using … Read more