Graph neural ordinary differential equations

M Poli, S Massaroli, J Park, A Yamashita… - arXiv preprint arXiv …, 2019 - arxiv.org
We introduce the framework of continuous--depth graph neural networks (GNNs). Graph
neural ordinary differential equations (GDEs) are formalized as the counterpart to GNNs …
被引用次数：415 相关文章
[PDF] researchgate.net

[PDF][PDF] Graph Neural Ordinary Differential Equations

M Poli, S Massaroli, J Park, A Yamashita, H Asama… - researchgate.net
We introduce the framework of continuous–depth graph neural networks (GNNs). Graph
neural ordinary differential equations (GDEs) are formalized as the counterpart to GNNs …

Graph Neural Ordinary Differential Equations

M Poli, S Massaroli, J Park, A Yamashita… - arXiv e …, 2019 - ui.adsabs.harvard.edu
We introduce the framework of continuous--depth graph neural networks (GNNs). Graph
neural ordinary differential equations (GDEs) are formalized as the counterpart to GNNs …
[PDF] researchgate.net

[PDF][PDF] Graph Neural Ordinary Differential Equations

M Poli, S Massaroli, J Park, A Yamashita, H Asama… - researchgate.net
We extend the framework of graph neural networks (GNN) to continuous time. Graph neural
ordinary differential equations (GDEs) are introduced as the counterpart to GNNs where the …