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Graph Neural Networks: A Review of Methods and Applications
v1v2v3v4v5v6 (latest)

Graph Neural Networks: A Review of Methods and Applications

20 December 2018
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
    AI4CEGNN
ArXiv (abs)PDFHTML

Papers citing "Graph Neural Networks: A Review of Methods and Applications"

50 / 256 papers shown
Title
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNNAI4TS
137
1,730
0
08 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
86
376
0
20 Apr 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
GNN
96
491
0
15 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
209
1,232
0
10 Apr 2017
Conversation Modeling on Reddit using a Graph-Structured LSTM
Conversation Modeling on Reddit using a Graph-Structured LSTM
Vicky Zayats
Mari Ostendorf
86
85
0
07 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
114
1,472
0
05 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
596
7,485
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
191
4,828
0
17 Mar 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNNNAI
80
832
0
14 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
415
2,473
0
10 Mar 2017
Loyalty in Online Communities
Loyalty in Online Communities
William L. Hamilton
Justine Zhang
Cristian Danescu-Niculescu-Mizil
Dan Jurafsky
J. Leskovec
62
84
0
09 Mar 2017
Interpretable Structure-Evolving LSTM
Interpretable Structure-Evolving LSTM
Xiaodan Liang
Liang Lin
Xiaohui Shen
Jiashi Feng
Shuicheng Yan
Eric Xing
70
96
0
08 Mar 2017
Discovering objects and their relations from entangled scene
  representations
Discovering objects and their relations from entangled scene representations
David Raposo
Adam Santoro
David Barrett
Razvan Pascanu
Timothy Lillicrap
Peter W. Battaglia
GNNOCL
76
71
0
16 Feb 2017
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNNOCL
89
347
0
14 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
493
14,353
0
02 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CEOCL
384
441
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,412
0
01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,492
0
29 Nov 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
415
1,824
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
810
3,291
0
24 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,591
0
21 Nov 2016
A Convolutional Encoder Model for Neural Machine Translation
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring
Michael Auli
David Grangier
Yann N. Dauphin
83
450
0
07 Nov 2016
Graph-Structured Representations for Visual Question Answering
Graph-Structured Representations for Visual Question Answering
Damien Teney
Lingqiao Liu
Anton Van Den Hengel
GNNNAI
102
420
0
19 Sep 2016
Column Networks for Collective Classification
Column Networks for Collective Classification
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
110
145
0
15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
647
29,154
0
09 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
83
418
0
12 Jul 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,903
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
353
7,669
0
30 Jun 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
224
1,150
0
25 May 2016
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
173
509
0
20 May 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
138
2,154
0
17 May 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNNSSL
171
2,103
0
29 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
172
355
0
23 Mar 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
122
695
0
17 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
151
1,449
0
02 Mar 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMatRALM
107
1,123
0
25 Jan 2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree
  Structures
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa
Joey Tianyi Zhou
132
1,188
0
05 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
200
953
0
19 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,285
0
17 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
145
1,093
0
17 Nov 2015
Diffusion-Convolutional Neural Networks
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNNDiffM
197
1,256
0
06 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,353
0
30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
124
3,059
0
09 Jun 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
142
5,337
0
12 Mar 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
142
3,122
0
28 Feb 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,590
0
01 Sep 2014
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