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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 / 1,607 papers shown
Title
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
92
11
0
09 Jun 2020
Nonlinear Higher-Order Label Spreading
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
Austin R. Benson
Konstantin Prokopchik
77
33
0
08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Eric Wang
Wenwu Zhu
GNN
84
33
0
08 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
106
223
0
05 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
127
69
0
02 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
128
166
0
29 May 2020
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Hexin Bai
Peng Chu
Jeng-Yuan Tsai
Nathan Wilson
X. Qian
Q. Yan
Haibin Ling
29
5
0
27 May 2020
Integrated Node Encoder for Labelled Textual Networks
Integrated Node Encoder for Labelled Textual Networks
Ye Ma
Lu Zong
12
0
0
24 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain:
  A Survey
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
GNNAI4TSAI4CE
99
199
0
24 May 2020
A Survey of Information Cascade Analysis: Models, Predictions, and
  Recent Advances
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou
Xovee Xu
Goce Trajcevski
Kunpeng Zhang
65
181
0
22 May 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OODAAML
88
711
0
20 May 2020
Neural Stochastic Block Model & Scalable Community-Based Graph Learning
Neural Stochastic Block Model & Scalable Community-Based Graph Learning
Zheng Chen
Xinli Yu
Yuan Ling
Xiaohua Hu
27
1
0
16 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
122
240
0
13 May 2020
Towards Better Graph Representation: Two-Branch Collaborative Graph
  Neural Networks for Multimodal Marketing Intention Detection
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection
Lu Zhang
Jian Zhang
Zhibin Li
Jingsong Xu
16
3
0
13 May 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand
  Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance
  Propagation
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation
Hyeoncheol Cho
E. Lee
I. Choi
GNNFAtt
31
4
0
12 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node
  Features on Biological Networks
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks
Ramin Hasibi
T. Michoel
AI4CE
28
1
0
08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
98
291
0
07 May 2020
Reducing Communication in Graph Neural Network Training
Reducing Communication in Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
GNN
116
105
0
07 May 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical
  Report Generation
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
Zhongyi Han
B. Wei
Yilong Yin
Shuo Li
MedIm
54
41
0
28 Apr 2020
Data-Driven Construction of Data Center Graph of Things for Anomaly
  Detection
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection
Hao Zhang
Zhanming Li
Zhi-yu Ren
25
1
0
27 Apr 2020
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering
  Framework for Hyperspectral Image
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
Yaoming Cai
Zijia Zhang
Z. Cai
Xiaobo Liu
Xinwei Jiang
Qin Yan
79
97
0
22 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Z. Yang
Q. Zheng
AAMLGNN
87
90
0
22 Apr 2020
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long
  Novels
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
Canxiang Yan
Jianhao Yan
Yang Xu
Cheng Niu
Jie Zhou
102
1
0
21 Apr 2020
Transfer Learning with Graph Neural Networks for Short-Term Highway
  Traffic Forecasting
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
Tanwi Mallick
Prasanna Balaprakash
E. Rask
Jane Macfarlane
GNNAI4TS
67
70
0
17 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More
  Successful Visual Navigation
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
M. Moghaddam
Qi Wu
Ehsan Abbasnejad
Javen Qinfeng Shi
59
4
0
07 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
105
38
0
06 Apr 2020
Epitomic Variational Graph Autoencoder
Epitomic Variational Graph Autoencoder
R. A. Khan
Muhammad Umer Anwaar
M. Kleinsteuber
BDL
75
10
0
03 Apr 2020
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic
  Scene
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene
Jilin Mei
Huijing Zhao
3DPC
30
1
0
31 Mar 2020
Sample-Specific Output Constraints for Neural Networks
Sample-Specific Output Constraints for Neural Networks
Mathis Brosowsky
Olaf Dünkel
Daniel Slieter
Marius Zöllner
AILawPINN
66
10
0
23 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
GNN
112
50
0
22 Mar 2020
Learning to simulate and design for structural engineering
Learning to simulate and design for structural engineering
Kai-Hung Chang
Chin-Yi Cheng
AI4CE
72
51
0
20 Mar 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in
  Automated Anatomical Labeling of Coronary Arteries
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Han Yang
Xingjian Zhen
Ying Chi
Lei Zhang
Xiansheng Hua
MedIm
53
46
0
19 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai
Tae-Kyun Kim
GAN
125
19
0
13 Mar 2020
Automating Botnet Detection with Graph Neural Networks
Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou
Zhiying Xu
Alexander M. Rush
Minlan Yu
GNN
64
73
0
13 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
94
97
0
13 Mar 2020
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Yulong Gu
Yushi Guan
P. Missier
AI4CE
48
13
0
13 Mar 2020
Dynamic Spatiotemporal Graph Neural Network with Tensor Network
Dynamic Spatiotemporal Graph Neural Network with Tensor Network
Chengcheng Jia
Bo Wu
Xiao-Ping Zhang
AI4TS
88
7
0
12 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
389
173
0
09 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
140
625
0
07 Mar 2020
Natural Language QA Approaches using Reasoning with External Knowledge
Natural Language QA Approaches using Reasoning with External Knowledge
Chitta Baral
Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
LRM
43
5
0
06 Mar 2020
GraphTTS: graph-to-sequence modelling in neural text-to-speech
GraphTTS: graph-to-sequence modelling in neural text-to-speech
Aolan Sun
Jianzong Wang
Ning Cheng
Huayi Peng
Zhen Zeng
Jing Xiao
52
21
0
04 Mar 2020
Semiparametric Nonlinear Bipartite Graph Representation Learning with
  Provable Guarantees
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
63
7
0
02 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Changmin Wu
Giannis Nikolentzos
Michalis Vazirgiannis
GNN
318
10
0
02 Mar 2020
Relational Deep Feature Learning for Heterogeneous Face Recognition
Relational Deep Feature Learning for Heterogeneous Face Recognition
Myeongah Cho
Taeoh Kim
Ig-Jae Kim
Kyungjae Lee
Sangyoun Lee
CVBM
67
39
0
02 Mar 2020
Towards a predictive spatio-temporal representation of brain data
Towards a predictive spatio-temporal representation of brain data
Tiago Azevedo
L. Passamonti
Pietro Lio
N. Toschi
76
9
0
29 Feb 2020
Joint Face Completion and Super-resolution using Multi-scale Feature
  Relation Learning
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning
Zhilei Liu
Yunpeng Wu
Le Li
Cuicui Zhang
Baoyuan Wu
CVBM
48
5
0
29 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
87
46
0
27 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
161
91
0
21 Feb 2020
A Convolutional Neural Network into graph space
A Convolutional Neural Network into graph space
Maxime Martineau
R. Raveaux
Donatello Conte
G. Venturini
GNN
43
2
0
20 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented
  Abstract Syntax Tree
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang
Ge Li
Bo Ma
Xin Xia
Zhi Jin
GNN
68
260
0
20 Feb 2020
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