Learning Depthwise Separable Graph Convolution from Data Manifold

31 October 2017

Papers citing "Learning Depthwise Separable Graph Convolution from Data Manifold"

5 / 5 papers shown

Title
Space-Time-Separable Graph Convolutional Network for Pose Forecasting Theodoros Sofianos Alessio Sampieri Luca Franco Fabio Galasso 3DH 36 143 0 09 Oct 2021
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li Rose Yu Cyrus Shahabi Yan Liu GNN DiffM AI4TS 54 99 0 06 Jul 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 244 3,236 0 24 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015