Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks

11 September 2019

Papers citing "Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks"

10 / 10 papers shown

Title
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 60 291 0 15 May 2019
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 180 158 0 28 Nov 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation Gusi Te Wei Hu Zongming Guo Amin Zheng 3DPC 59 323 0 08 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,149 0 24 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 127 757 0 10 Jan 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 412 1,823 0 25 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 350 7,655 0 30 Jun 2016
Empirical Evaluation of Rectified Activations in Convolutional Network Bing Xu Naiyan Wang Tianqi Chen Mu Li 135 2,912 0 05 May 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 220 4,876 0 21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 130 3,974 0 31 Oct 2012