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Semi-Supervised Classification with Graph Convolutional Networks
v1v2v3v4 (latest)

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNNSSL
ArXiv (abs)PDFHTML

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

15 / 11,315 papers shown
Title
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
199
55
0
01 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-SharingInternational Conference on Machine Learning (ICML), 2017
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
231
272
0
27 Feb 2017
Unifying local and non-local signal processing with graph CNNs
Unifying local and non-local signal processing with graph CNNs
Gilles Puy
Srdan Kitic
P. Pérez
GNN
103
16
0
24 Feb 2017
A Probabilistic Framework for Location Inference from Social Media
A Probabilistic Framework for Location Inference from Social Media
Yujie Qian
Jie Tang
Zhilin Yang
Binxuan Huang
Wei Wei
Kathleen M. Carley
132
19
0
23 Feb 2017
QCD-Aware Recursive Neural Networks for Jet Physics
QCD-Aware Recursive Neural Networks for Jet PhysicsJournal of High Energy Physics (JHEP), 2017
Gilles Louppe
Dong Wang
C. Becot
Kyle Cranmer
BDL
253
197
0
02 Feb 2017
Procedural Content Generation via Machine Learning (PCGML)
Procedural Content Generation via Machine Learning (PCGML)IEEE Transactions on Games (TG), 2017
A. Summerville
Sam Snodgrass
Matthew J. Guzdial
Christoffer Holmgård
Amy K. Hoover
Aaron Isaksen
Andy Nealen
Julian Togelius
3DV
261
421
0
02 Feb 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent NetworksInternational Conference on Neural Information Processing (ICONIP), 2016
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
247
881
0
22 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
975
1,892
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
1.3K
3,574
0
24 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
197
718
0
21 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
444
4,019
0
21 Nov 2016
Intrinsic Geometric Information Transfer Learning on Multiple
  Graph-Structured Datasets
Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets
Jaekoo Lee
Hyunjae Kim
Jongsun Lee
Sungroh Yoon
GNN
124
67
0
15 Nov 2016
Node Embedding via Word Embedding for Network Community Discovery
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding
Christy Lin
Prakash Ishwar
158
17
0
09 Nov 2016
Learning Deep Architectures for Interaction Prediction in
  Structure-based Virtual Screening
Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening
Adam Gonczarek
Jakub M. Tomczak
Szymon Zareba
J. Kaczmar
P. Dabrowski
Michał J. Walczak
71
68
0
23 Oct 2016
A Survey on Bayesian Deep Learning
A Survey on Bayesian Deep Learning
Hao Wang
Dit-Yan Yeung
BDL
260
49
0
06 Apr 2016
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