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Semi-Supervised Classification with Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNN
    SSL
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Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

42 / 7,492 papers shown
Title
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
32
132
0
28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
53
1,782
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
58
1,967
0
17 Sep 2017
Learning Graph-Level Representation for Drug Discovery
Learning Graph-Level Representation for Drug Discovery
Junying Li
Deng Cai
Xiaofei He
GNN
AI4CE
26
115
0
12 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GAN
AI4CE
25
25
0
11 Sep 2017
Semantic Preserving Embeddings for Generalized Graphs
Semantic Preserving Embeddings for Generalized Graphs
Pedro Almagro Blanco
Fernando Sancho-Caparrini
18
0
0
07 Sep 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
33
7
0
10 Aug 2017
Graph Classification with 2D Convolutional Neural Networks
Graph Classification with 2D Convolutional Neural Networks
A. Tixier
Giannis Nikolentzos
Polykarpos Meladianos
Michalis Vazirgiannis
GNN
21
23
0
29 Jul 2017
Graph-Based Classification of Omnidirectional Images
Graph-Based Classification of Omnidirectional Images
Renata Khasanova
P. Frossard
32
71
0
26 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
46
639
0
12 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
30
2,575
0
05 Jul 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
26
25
0
16 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
25
5
0
08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
27
53
0
08 Jun 2017
Morphological Error Detection in 3D Segmentations
Morphological Error Detection in 3D Segmentations
David Rolnick
Yaron Meirovitch
T. Parag
Hanspeter Pfister
Viren Jain
J. Lichtman
E. Boyden
Nir Shavit
3DPC
3DH
27
26
0
30 May 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
22
481
0
27 May 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
27
78
0
23 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
44
658
0
22 May 2017
Active Learning for Graph Embedding
Active Learning for Graph Embedding
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
GNN
33
97
0
15 May 2017
Deep neural networks on graph signals for brain imaging analysis
Deep neural networks on graph signals for brain imaging analysis
Yiluan Guo
Hossein Nejati
Ngai-man Cheung
GNN
19
26
0
13 May 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
19
87
0
26 Apr 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum
  Disorder Classification
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Rushil Anirudh
Jayaraman J. Thiagarajan
33
90
0
24 Apr 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
34
1,270
0
22 Apr 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
33
365
0
20 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,222
0
10 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
110
7,334
0
04 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
18
111
0
23 Mar 2017
Semi-Supervised Learning with Competitive Infection Models
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld
Amir Globerson
SSL
21
6
0
19 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
97
4,745
0
17 Mar 2017
Spectral Graph Convolutions for Population-based Disease Prediction
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
35
210
0
08 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Eliav Buchnik
E. Cohen
16
22
0
07 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application
  to Functional Brain Networks
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
S. Ktena
Sarah Parisot
Enzo Ferrante
Martin Rajchl
M. J. Lee
Ben Glocker
Daniel Rueckert
GNN
26
191
0
07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
34
140
0
02 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
39
22
0
02 Mar 2017
QCD-Aware Recursive Neural Networks for Jet Physics
QCD-Aware Recursive Neural Networks for Jet Physics
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
BDL
24
189
0
02 Feb 2017
Procedural Content Generation via Machine Learning (PCGML)
Procedural Content Generation via Machine Learning (PCGML)
A. Summerville
Sam Snodgrass
Matthew J. Guzdial
Christoffer Holmgård
Amy K. Hoover
Aaron Isaksen
Andy Nealen
Julian Togelius
3DV
40
385
0
02 Feb 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
36
758
0
22 Dec 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
264
3,246
0
24 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
54
3,524
0
21 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
33
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
27
68
0
23 Oct 2016
A Survey on Bayesian Deep Learning
A Survey on Bayesian Deep Learning
Hao Wang
Dit-Yan Yeung
BDL
30
49
0
06 Apr 2016
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