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Deep Learning on Graphs: A Survey
v1v2v3 (latest)

Deep Learning on Graphs: A Survey

11 December 2018
Ziwei Zhang
Peng Cui
Wenwu Zhu
    GNN
ArXiv (abs)PDFHTML

Papers citing "Deep Learning on Graphs: A Survey"

50 / 378 papers shown
Title
Edge-Featured Graph Attention Network
Edge-Featured Graph Attention Network
Jun Chen
Hao-peng Chen
GNN
68
36
0
19 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CMLBDLAI4TS
176
242
0
18 Jan 2021
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud
  System
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
Yiwen Han
Shihao Shen
Xiaofei Wang
Shiqiang Wang
Victor C. M. Leung
99
63
0
17 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular
  dynamics force fields
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
Zun Wang
Chong Wang
Sibo Zhao
Shiqiao Du
Yong Xu
B. Gu
W. Duan
AI4CE
108
14
0
08 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
181
597
0
04 Jan 2021
Graph Networks with Spectral Message Passing
Graph Networks with Spectral Message Passing
Kimberly L. Stachenfeld
Jonathan Godwin
Peter W. Battaglia
92
12
0
31 Dec 2020
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNNAI4CE
117
58
0
31 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
170
126
0
16 Dec 2020
Emotional Conversation Generation with Heterogeneous Graph Neural
  Network
Emotional Conversation Generation with Heterogeneous Graph Neural Network
Yunlong Liang
Fandong Meng
Yingxue Zhang
Jinan Xu
Jinan Xu
Jie Zhou
68
25
0
09 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
127
314
0
30 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
95
265
0
13 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial
  Intelligence: A Review and Perspective
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
Bao-Gang Hu
Hanbing Qu
AI4CE
105
1
0
12 Nov 2020
Learning on Attribute-Missing Graphs
Learning on Attribute-Missing Graphs
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya Zhang
Ivor W Tsang
93
94
0
03 Nov 2020
Graph Neural Network for Metal Organic Framework Potential Energy
  Approximation
Graph Neural Network for Metal Organic Framework Potential Energy Approximation
Shehtab Zaman
Christopher Owen
Kenneth Chiu
Michael Lawler
AI4CE
32
0
0
29 Oct 2020
Accordion: Adaptive Gradient Communication via Critical Learning Regime
  Identification
Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Saurabh Agarwal
Hongyi Wang
Kangwook Lee
Shivaram Venkataraman
Dimitris Papailiopoulos
85
25
0
29 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative
  Homogeneous Graph Neural Networks
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
70
9
0
26 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNNCML
68
63
0
22 Oct 2020
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural Networks
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNNAI4CE
120
15
0
11 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks
Multi-grained Semantics-aware Graph Neural Networks
Zhiqiang Zhong
Chengzong Li
Jun Pang
AI4CE
55
8
0
01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
148
230
0
30 Sep 2020
Topology-Aware Generative Adversarial Network for Joint Prediction of
  Multiple Brain Graphs from a Single Brain Graph
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
MedIm
66
12
0
23 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks
Evolutionary Architecture Search for Graph Neural Networks
Min Shi
David A. Wilson
Xingquan Zhu
Yu Huang
Zhuang Yuan
Jianxun Liu
Yufei Tang
AI4CE
80
22
0
21 Sep 2020
Implicit Graph Neural Networks
Implicit Graph Neural Networks
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
106
150
0
14 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
94
50
0
08 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Sebastian Mežnar
Nada Lavrac
Blaž Škrlj
94
5
0
08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
104
167
0
07 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with
  Stochastic Message Passing
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
68
2
0
05 Sep 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree
  Hierarchy
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He
Arpan Man Sainju
Zhe Jiang
Da Yan
111
9
0
25 Aug 2020
A comparative study of similarity-based and GNN-based link prediction
  approaches
A comparative study of similarity-based and GNN-based link prediction approaches
K. Islam
Sabeur Aridhi
Malika Smaïl-Tabbone
42
10
0
20 Aug 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
72
2
0
22 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
157
150
0
13 Jul 2020
Next Waves in Veridical Network Embedding
Next Waves in Veridical Network Embedding
Owen G. Ward
Zhen Huang
Andrew Davison
Tian Zheng
GNN
122
5
0
10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi
Xin Liu
T. Murata
GNN
111
93
0
09 Jul 2020
GraphOpt: Learning Optimization Models of Graph Formation
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit S. Trivedi
Jiachen Yang
H. Zha
OffRL
114
17
0
07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
78
196
0
06 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
141
495
0
05 Jul 2020
Deep Feature Space: A Geometrical Perspective
Deep Feature Space: A Geometrical Perspective
Ioannis Kansizoglou
Loukas Bampis
Antonios Gasteratos
81
40
0
30 Jun 2020
Finding Patient Zero: Learning Contagion Source with Graph Neural
  Networks
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Chintan Shah
Nima Dehmamy
N. Perra
Matteo Chinazzi
A. Barabási
Alessandro Vespignani
Rose Yu
84
43
0
21 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and
  Effective Designs
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu
Yujun Yan
Lingxiao Zhao
Mark Heimann
Leman Akoglu
Danai Koutra
GNN
115
34
0
20 Jun 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
150
139
0
18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
218
15
0
18 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
108
298
0
15 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
159
418
0
11 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
254
1,310
0
10 Jun 2020
Deep learning of contagion dynamics on complex networks
Deep learning of contagion dynamics on complex networks
Charles Murphy
Edward Laurence
Antoine Allard
GNNAI4CE
22
70
0
09 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
128
166
0
29 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
108
177
0
27 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
64
164
0
25 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with
  Applications to Networking
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
N. Vesselinova
Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
GNNAI4CE
87
146
0
22 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
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