Graph Neural Ordinary Differential Equations

18 Nov 2019Michael PoliStefano MassaroliJunyoung ParkAtsushi YamashitaHajime AsamaJinkyoo Park

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 the input-output relationship is determined by a continuum of GNN layers, blending discrete topological structures and differential equations... (read more)

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