21 citations · 62 across the 7 of their papers we have counts for
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stat.ML2022
Rewiring Networks for Graph Neural Network Training Using Discrete Geometry
Jakub Bober, Anthea Monod, Emil Saucan +1
Information over-squashing is a phenomenon of inefficient information propagation between distant nodes on networks. It is an important problem that is known to significantly impac…
stat.ML2022★ 1 cited
Learning reversible symplectic dynamics
Riccardo Valperga, Kevin Webster, Victoria Klein +2
Time-reversal symmetry arises naturally as a structural property in many dynamical systems of interest. While the importance of hard-wiring symmetry is increasingly recognized in m…