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Deep Learning on Graphs: A Survey

Deep Learning on Graphs: A Survey

11 December 2018
Ziwei Zhang
Peng Cui
Wenwu Zhu
    GNN
ArXivPDFHTML

Papers citing "Deep Learning on Graphs: A Survey"

50 / 463 papers shown
Title
Temporal Contrastive Graph Learning for Video Action Recognition and
  Retrieval
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
Yang Liu
Keze Wang
Haoyuan Lan
Liang Lin
29
16
0
04 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
97
562
0
04 Jan 2021
Schemes of Propagation Models and Source Estimators for Rumor Source
  Detection in Online Social Networks: A Short Survey of a Decade of Research
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
R. Jin
Weili Wu
16
10
0
04 Jan 2021
Graph Networks with Spectral Message Passing
Graph Networks with Spectral Message Passing
Kimberly L. Stachenfeld
Jonathan Godwin
Peter W. Battaglia
35
12
0
31 Dec 2020
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
50
57
0
31 Dec 2020
Generalized Operating Procedure for Deep Learning: an Unconstrained
  Optimal Design Perspective
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
Shen Chen
Mingwei Zhang
Jiamin Cui
Wei Yao
CVBM
22
0
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
25
116
0
16 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan
Xiaobing Pei
GNN
AAML
27
1
0
11 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
27
36
0
09 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
27
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
38
294
0
30 Nov 2020
Deep learning for video game genre classification
Deep learning for video game genre classification
Yuhang Jiang
Lukun Zheng
AI4TS
VLM
22
13
0
21 Nov 2020
Deep Data Flow Analysis
Deep Data Flow Analysis
Chris Cummins
Hugh Leather
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Michael F. P. O'Boyle
16
4
0
21 Nov 2020
Deep Learning -- A first Meta-Survey of selected Reviews across
  Scientific Disciplines, their Commonalities, Challenges and Research Impact
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
Jan Egger
Antonio Pepe
Christina Schwarz-Gsaxner
Yuan Jin
Jianning Li
Roman Kern
OOD
VLM
AI4CE
31
30
0
16 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
16
257
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
33
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
32
85
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
12
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
34
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
25
9
0
26 Oct 2020
Revisiting convolutional neural network on graphs with polynomial
  approximations of Laplace-Beltrami spectral filtering
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
24
11
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
GNN
CML
23
63
0
22 Oct 2020
Deep Generative Modeling in Network Science with Applications to Public
  Policy Research
Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin Hartnett
R. Vardavas
Lawrence Baker
Michael Chaykowski
C. Gibson
F. Girosi
David Kennedy
Osonde A. Osoba
14
2
0
15 Oct 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
31
4
0
14 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
GNN
AI4CE
24
12
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
11
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
30
225
0
30 Sep 2020
Multi-View Brain HyperConnectome AutoEncoder For Brain State
  Classification
Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification
Alin Banka
Inis Buzi
I. Rekik
28
11
0
24 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
13
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
29
22
0
21 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning
  for Hyperspectral Image Classification
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie-jin Yang
Jian Yang
27
3
0
19 Sep 2020
Implicit Graph Neural Networks
Implicit Graph Neural Networks
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
29
147
0
14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
27
22
0
11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
30
46
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
11
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
32
158
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
21
2
0
05 Sep 2020
Decoupled Variational Embedding for Signed Directed Networks
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen
Jiangchao Yao
Maosen Li
Ya Zhang
Yanfeng Wang
14
4
0
28 Aug 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
13
9
0
25 Aug 2020
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Xingyue Pu
Siu Lun Chau
Xiaowen Dong
Dino Sejdinovic
17
20
0
23 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
17
10
0
20 Aug 2020
A Visual Analytics Framework for Contrastive Network Analysis
A Visual Analytics Framework for Contrastive Network Analysis
Takanori Fujiwara
Jian Zhao
Francine Chen
K. Ma
17
11
0
01 Aug 2020
Neural Architecture Search in Graph Neural Networks
Neural Architecture Search in Graph Neural Networks
Matheus Nunes
G. Pappa
GNN
AI4CE
14
29
0
31 Jul 2020
Supervised learning on heterogeneous, attributed entities interacting
  over time
Supervised learning on heterogeneous, attributed entities interacting over time
A. Laghaout
16
0
0
22 Jul 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
22
2
0
22 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories
Dynamic Relational Inference in Multi-Agent Trajectories
Ruichao Xiao
Manish Kumar Singh
Rose Yu
36
2
0
16 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
44
147
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
11
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
33
84
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
14
17
0
07 Jul 2020
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