most citedA new method to quantify and reduce projection error in whole-solar-active-region parameters measured from vector magnetograms

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cs.LG2025★ 1 cited

Binarizing Physics-Inspired GNNs for Combinatorial Optimization

Martin Krutský, Gustav Šír, Vyacheslav Kungurtsev +1

Physics-inspired graph neural networks (PI-GNNs) have been utilized as an efficient unsupervised framework for relaxing combinatorial optimization problems encoded through a specif…