Continuous-Depth Neural Models for Dynamic Graph Prediction

Michael Poli, Stefano Massaroli, Clayton M. Rabideau +4

We introduce the framework of continuous-depth graph neural networks (GNNs). Neural graph differential equations (Neural GDEs) are formalized as the counterpart to GNNs where the i…