GraphMDN: Leveraging graph structure and deep learning to solve inverse problems

Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian

The recent introduction of Graph Neural Networks (GNNs) and their growing popularity in the past few years has enabled the application of deep learning algorithms to non-Euclidean,…