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From Spectrum Wavelet to Vertex Propagation: Graph Convolutional
  Networks Based on Taylor Approximation

From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation

1 July 2020
Songyang Zhang
Han Zhang
Shuguang Cui
Zhi Ding
    GNN
ArXivPDFHTML

Papers citing "From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation"

3 / 3 papers shown
Title
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,072
0
13 Feb 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
1