1 code implementation • 2 May 2021 • Megi Isallari, Islem Rekik
While typically the Graph U-Net is a node-focused architecture where graph embedding depends mainly on node attributes, we propose a graph-focused architecture where the node feature embedding is based on the graph topology.
1 code implementation • 23 Sep 2020 • Megi Isallari, Islem Rekik
Catchy but rigorous deep learning architectures were tailored for image super-resolution (SR), however, these fail to generalize to non-Euclidean data such as brain connectomes.