157 citations · 508 across the 24 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 62 cited
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★ 5 cited
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…