25 citations · 32 across the 7 of their papers we have counts for
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physics.soc-ph2024★ 2 cited
Linking Through Time: Memory-Enhanced Community Discovery in Temporal Networks
Giulio Virginio Clemente, Diego Garlaschelli
Temporal Networks, and more specifically, Markovian Temporal Networks, present a unique challenge regarding the community discovery task. The inherent dynamism of these systems req…
q-bio.QM2024
Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
Maria Mircea, Diego Garlaschelli, Stefan Semrau
One of the main goals of developmental biology is to reveal the gene regulatory networks (GRNs) underlying the robust differentiation of multipotent progenitors into precisely spec…