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cs.LG2025
A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
Michael Banf, Dominik Filipiak, Max Schattauer +1
Graph Neural Networks are highly effective at learning from relational data, leveraging node and edge features while maintaining the symmetries inherent to graph structures. Howeve…
astro-ph.HE2025★ 1 cited
Comparison of Three Methods for Triggering Core-collapse Supernova Explosions in Spherical Symmetry
Liliya Imasheva, H. -Thomas Janka, Achim Weiss
Despite the three-dimensional nature of core-collapse supernovae (CCSNe), simulations in spherical symmetry (1D) play an important role to study large model sets for the progenitor…