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Relating graph auto-encoders to linear models
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Relating graph auto-encoders to linear models

Solveig Klepper
U. V. Luxburg
ArXiv (abs)PDFHTML

Papers citing "Relating graph auto-encoders to linear models"

7 / 7 papers shown
Title
Adaptive Graph Auto-Encoder for General Data Clustering
Adaptive Graph Auto-Encoder for General Data Clustering
Xuelong Li
Hongyuan Zhang
Rui Zhang
GNNAI4CE
72
83
0
20 Feb 2020
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
254
3,188
0
19 Feb 2019
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
120
384
0
03 Apr 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
523
15,369
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
159
3,598
0
21 Nov 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
200
10,934
0
03 Jul 2016
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
200
1,852
0
20 Dec 2013