19 citations · 56 across the 11 of their papers we have counts for
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cs.LG2019
Graph Neural Ordinary Differential Equations
Michael Poli, Stefano Massaroli, Junyoung Park +3
We introduce the framework of continuous--depth graph neural networks (GNNs). Graph neural ordinary differential equations (GDEs) are formalized as the counterpart to GNNs where th…
cs.NE2019
Port-Hamiltonian Approach to Neural Network Training
Stefano Massaroli, Michael Poli, Federico Califano +4
Neural networks are discrete entities: subdivided into discrete layers and parametrized by weights which are iteratively optimized via difference equations. Recent work proposes ne…