My name is Andre Macleod, 25, born in Sweden, raised in Italy, moved to New Zealand as I am half-kiwi. Passionate in mathematics, I recently completed a Masters degree in Applied Data Science, and have been working on various data science projects, including some in Julia, which I would be excited to share at JuliaCon if given the chance.
Modeling the temporal evolution of complex networks is still an open challenge across many fields. Using the SciML ecosystem in Julia, we train and simplify a Neural ODE on the low-dimensional embeddings of a temporal sequence of networks. In this way, we discover a dynamical system representation of the network that allows us to predict its temporal evolution. In the talk we’ll show how the tight integration of SciML, Network, and Matrix Algebra packages in Julia opens new modeling directions.