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Haar Wavelet Feature Compression for Quantized Graph Convolutional
  Networks

Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks

10 October 2021
Moshe Eliasof
Ben Bodner
Eran Treister
    GNN
ArXivPDFHTML

Papers citing "Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks"

5 / 5 papers shown
Title
How Framelets Enhance Graph Neural Networks
How Framelets Enhance Graph Neural Networks
Xuebin Zheng
Bingxin Zhou
Junbin Gao
Yu Guang Wang
Pietro Lió
Ming Li
Guido Montúfar
51
69
0
13 Feb 2021
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
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
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
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