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Revisiting convolutional neural network on graphs with polynomial
  approximations of Laplace-Beltrami spectral filtering

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering

26 October 2020
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
ArXivPDFHTML

Papers citing "Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering"

3 / 3 papers shown
Title
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
Mohammad Farazi
Zhangsihao Yang
Wenjie Zhu
Peijie Qiu
Yalin Wang
3DV
32
4
0
08 Feb 2023
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
260
1,811
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
261
3,240
0
24 Nov 2016
1