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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 networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNNAI4CEPINNOCL
210
602
0
04 Jun 2018
Relational inductive bias for physical construction in humans and
  machines
Relational inductive bias for physical construction in humans and machines
Jessica B. Hamrick
Kelsey R. Allen
V. Bapst
Tina Zhu
Kevin R. McKee
J. Tenenbaum
Peter W. Battaglia
212
111
0
04 Jun 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNNGAN
177
928
0
30 May 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric Xing
170
306
0
29 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNNAAMLOOD
159
1,070
0
21 May 2018
Sentence-State LSTM for Text Representation
Sentence-State LSTM for Text Representation
Yue Zhang
Qi Liu
Linfeng Song
65
209
0
07 May 2018
A Graph-to-Sequence Model for AMR-to-Text Generation
A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
Yue Zhang
Zhiguo Wang
D. Gildea
GNNAIMat
98
254
0
07 May 2018
Exploiting Semantics in Neural Machine Translation with Graph
  Convolutional Networks
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani
Jasmijn Bastings
Ivan Titov
GNNNAI
90
187
0
23 Apr 2018
Semi-supervised User Geolocation via Graph Convolutional Networks
Semi-supervised User Geolocation via Graph Convolutional Networks
Afshin Rahimi
Trevor Cohn
Timothy Baldwin
GNNSSL
74
158
0
22 Apr 2018
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li Li
Li Fei-Fei
Abhinav Gupta
LRMGNN
193
216
0
29 Mar 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
108
303
0
28 Mar 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
120
1,222
0
22 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
152
589
0
21 Mar 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
110
573
0
20 Mar 2018
Learning Region Features for Object Detection
Learning Region Features for Object Detection
Jiayuan Gu
Han Hu
Liwei Wang
Yichen Wei
Jifeng Dai
ObjD
80
79
0
19 Mar 2018
Learning Deep Generative Models of Graphs
Learning Deep Generative Models of Graphs
Yujia Li
Oriol Vinyals
Chris Dyer
Razvan Pascanu
Peter W. Battaglia
GNNAI4CE
196
662
0
08 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GANGNN
177
361
0
02 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNNBDL
116
851
0
24 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
  Framework for Network-Scale Traffic Learning and Forecasting
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui
Kristian C. Henrickson
Ruimin Ke
Ziyuan Pu
Yinhai Wang
GNNAI4TS
112
750
0
20 Feb 2018
Learning a SAT Solver from Single-Bit Supervision
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam
Matthew Lamm
Benedikt Bünz
Percy Liang
L. D. Moura
D. Dill
NAI
92
424
0
11 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
116
1,086
0
02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
144
1,516
0
30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,168
0
24 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
241
4,172
0
23 Jan 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
GNNSSL
189
2,828
0
22 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
130
757
0
10 Jan 2018
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
100
622
0
04 Dec 2017
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
124
1,224
0
30 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
193
1,255
0
27 Nov 2017
Recurrent Relational Networks
Recurrent Relational Networks
Rasmus Berg Palm
Ulrich Paquet
Ole Winther
GNNReLMNAI
100
142
0
21 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,916
0
21 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
136
280
0
17 Nov 2017
Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
SungMin Rhee
Seokjun Seo
Sun Kim
GNN
109
176
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
804
0
01 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 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
105
1,793
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
174
1,980
0
17 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNNAI4TS
127
3,724
0
14 Sep 2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
Hoifung Poon
Chris Quirk
Kristina Toutanova
Wen-tau Yih
62
512
0
12 Aug 2017
Predicting multicellular function through multi-layer tissue networks
Predicting multicellular function through multi-layer tissue networks
Marinka Zitnik
J. Leskovec
95
541
0
14 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN3DV
191
2,629
0
05 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
103
239
0
19 Jun 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
81
334
0
18 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
119
1,261
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Visual Interaction Networks
Visual Interaction Networks
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN3DH
96
279
0
05 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
189
1,615
0
05 Jun 2017
Active Learning for Graph Embedding
Active Learning for Graph Embedding
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
GNN
94
102
0
15 May 2017
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