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Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional
  Networks

Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks

28 February 2022
Jin Zeng
Yang Liu
Gene Cheung
Wei Hu
ArXivPDFHTML

Papers citing "Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks"

12 / 12 papers shown
Title
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative
  GLASSO and Projection
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection
Saghar Bagheri
Gene Cheung
Antonio Ortega
Fen Wang
45
6
0
25 Oct 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
102
1,483
0
04 Jul 2020
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
300
1,116
0
13 Feb 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
101
1,334
0
25 Jul 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
114
1,342
0
07 Apr 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
201
3,168
0
19 Feb 2019
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
490
1,977
0
09 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
178
2,820
0
22 Jan 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
577
28,999
0
09 Sep 2016
Graph Laplacian Regularization for Image Denoising: Analysis in the
  Continuous Domain
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
Jiahao Pang
Gene Cheung
16
45
0
27 Apr 2016
A Probabilistic Interpretation of Sampling Theory of Graph Signals
A Probabilistic Interpretation of Sampling Theory of Graph Signals
Akshay Gadde
Antonio Ortega
82
73
0
23 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
1