Z-GCNETs: Time Zigzags at Graph Convolutional Networks
               for Time Series Forecasting

               Yuzhou Chen 1 2 Ignacio Segovia-Dominguez 3 4 Yulia R. Gel 3 2

             Abstract                  1. Introduction
                                   Many real world phenomena are intrinsically dynamic by
    There recently has been a surge of interest in de-      nature, and ideally neural networks, encoding the knowl-
    veloping a new class of deep learning (DL) archi-        ...