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A Comprehensive Survey on Graph Neural Networks

A Comprehensive Survey on Graph Neural Networks

3 January 2019
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
    FaML
    GNN
    AI4TS
    AI4CE
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Papers citing "A Comprehensive Survey on Graph Neural Networks"

50 / 2,823 papers shown
Title
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
10
837
0
27 Jan 2021
Learning Parametrised Graph Shift Operators
Learning Parametrised Graph Shift Operators
George Dasoulas
J. Lutzeyer
Michalis Vazirgiannis
OOD
19
21
0
25 Jan 2021
A Review of Graph Neural Networks and Their Applications in Power
  Systems
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Yuelong Wang
Yusen Wang
GNN
AI4CE
14
209
0
25 Jan 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
22
175
0
25 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and
  Self-Supervised Mutual Information Mechanism
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Yuanxing Ning
Phillip S. Yu
Lifang He
22
162
0
20 Jan 2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph
  Neural Network Training with Irregular Accesses
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
S. Min
Kun Wu
Sitao Huang
Mert Hidayetouglu
Jinjun Xiong
Eiman Ebrahimi
Deming Chen
Wen-mei W. Hwu
GNN
AI4CE
26
24
0
20 Jan 2021
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional
  Network for Clustering
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
Guangyu Huo
Yong Zhang
Junbin Gao
Boyue Wang
Yongli Hu
Baocai Yin
GNN
25
28
0
18 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
CML
BDL
AI4TS
108
226
0
18 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
13
36
0
15 Jan 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
126
145
0
14 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph
  Classification
Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren
Jiyang Bai
Jiawei Zhang
31
26
0
14 Jan 2021
UCNN: A Convolutional Strategy on Unstructured Mesh
UCNN: A Convolutional Strategy on Unstructured Mesh
Mengfei Xu
Shufang Song
Xuxiang Sun
Weiwei Zhang
AI4CE
13
3
0
12 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
27
14
0
08 Jan 2021
Dairy Cow rumination detection: A deep learning approach
Dairy Cow rumination detection: A deep learning approach
Safa Ayadi
Ahmed Ben Said
Rateb Jabbar
Chafik Aloulou
Achraf Chabbouh
Ahmed Ben Achballah
14
21
0
07 Jan 2021
SDGNN: Learning Node Representation for Signed Directed Networks
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
34
83
0
07 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie
Bin Wang
C.-C. Jay Kuo
24
36
0
07 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Hao Yuan
Shuiwang Ji
GNN
82
7
0
06 Jan 2021
Het-node2vec: second order random walk sampling for heterogeneous
  multigraphs embedding
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
Giorgio Valentini
E. Casiraghi
L. Cappelletti
Tommaso Fontana
Justin P Reese
Peter N. Robinson
19
7
0
05 Jan 2021
Temporal Contrastive Graph Learning for Video Action Recognition and
  Retrieval
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
Y. Liu
Keze Wang
Haoyuan Lan
Liang Lin
21
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
94
561
0
04 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
77
110
0
04 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to
  Predict COVID-19 Cases in Germany
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany
Cornelius Fritz
Emilio Dorigatti
David Rügamer
11
21
0
03 Jan 2021
Global field reconstruction from sparse sensors with Voronoi
  tessellation-assisted deep learning
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
47
142
0
03 Jan 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Jia Wu
Philip S. Yu
Weixiong Zhang
GNN
113
274
0
03 Jan 2021
Graph Networks with Spectral Message Passing
Graph Networks with Spectral Message Passing
Kimberly L. Stachenfeld
Jonathan Godwin
Peter W. Battaglia
30
12
0
31 Dec 2020
Binary Graph Neural Networks
Binary Graph Neural Networks
Mehdi Bahri
Gaétan Bahl
S. Zafeiriou
GNN
AI4CE
11
49
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
48
57
0
31 Dec 2020
Algorithms for Learning Graphs in Financial Markets
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CML
AIFin
61
17
0
31 Dec 2020
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
51
56
0
29 Dec 2020
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Weifeng Lv
Hui Xiong
25
13
0
29 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
21
1
0
28 Dec 2020
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating
  Connectional Brain Templates
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates
Mustafa Burak Gurbuz
I. Rekik
36
26
0
28 Dec 2020
Graph Convolutional Networks for traffic anomaly
Graph Convolutional Networks for traffic anomaly
Yue Hu
Ao Qu
D. Work
GNN
11
9
0
25 Dec 2020
Knowledge as Invariance -- History and Perspectives of
  Knowledge-augmented Machine Learning
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
13
3
0
21 Dec 2020
Image Annotation based on Deep Hierarchical Context Networks
Image Annotation based on Deep Hierarchical Context Networks
Mingyuan Jiu
H. Sahbi
11
0
0
21 Dec 2020
A Comprehensive Survey of Machine Learning Based Localization with
  Wireless Signals
A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
Daoud Burghal
Ashwin T. Ravi
Varun Rao
Abdullah A. Alghafis
A. Molisch
14
41
0
21 Dec 2020
A pipeline for fair comparison of graph neural networks in node
  classification tasks
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
8
5
0
19 Dec 2020
Biomedical Knowledge Graph Refinement and Completion using Graph
  Representation Learning and Top-K Similarity Measure
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
Islam Akef Ebeid
Majdi Hassan
Tingyi Wanyan
Jack Roper
Abhik Seal
Ying Ding
11
5
0
18 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
115
0
16 Dec 2020
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural
  Networks
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
Yuhang Yao
Carlee Joe-Wong
GNN
18
22
0
16 Dec 2020
A Deep Graph Neural Networks Architecture Design: From Global
  Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring
Gege Zhang
18
0
0
16 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand
  Prediction
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNN
AI4TS
11
148
0
15 Dec 2020
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan
Meng-Yu Tsai
Ti-Rong Wu
I-Chen Wu
Cho-Jui Hsieh
23
6
0
14 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
40
35
0
12 Dec 2020
A Meta-Learning Approach for Graph Representation Learning in Multi-Task
  Settings
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
Davide Buffelli
Fabio Vandin
AI4CE
20
14
0
12 Dec 2020
Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
GNN
14
8
0
11 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical
  Graph Representation Learning
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Haoteng Tang
Guixiang Ma
Lifang He
Heng-Chiao Huang
Liang Zhan
GNN
27
24
0
10 Dec 2020
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Andreas Nugaard Holm
Barbara Plank
Dustin Wright
Isabelle Augenstein
14
16
0
10 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao
Xixun Lin
Shu Guo
Luchen Liu
Tingwen Liu
Bin Wang
72
110
0
10 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
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