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Framework for Designing Filters of Spectral Graph Convolutional Neural
  Networks in the Context of Regularization Theory

Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory

29 September 2020
Asif Salim
S. Sumitra
    GNN
ArXivPDFHTML

Papers citing "Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory"

1 / 1 papers shown
Title
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
1,811
0
25 Nov 2016
1