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A Comprehensive Survey on Graph Neural Networks
v1v2v3v4 (latest)

A Comprehensive Survey on Graph Neural Networks

3 January 2019
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
    FaMLGNNAI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Survey on Graph Neural Networks"

50 / 3,089 papers shown
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
Hanshuang Tong
Zhen Wang
Yun Zhou
Shiwei Tong
Wenyuan Han
Qi Liu
AI4Ed
468
25
0
13 Jun 2020
Gaussian Processes on Graphs via Spectral Kernel Learning
Gaussian Processes on Graphs via Spectral Kernel LearningIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020
Yin-Cong Zhi
Yin Cheng Ng
Xiaowen Dong
215
38
0
12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group
  Normalization
Towards Deeper Graph Neural Networks with Differentiable Group NormalizationNeural Information Processing Systems (NeurIPS), 2020
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Helen Zhou
255
224
0
12 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
411
467
0
11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020
John Tencer
Kevin Potter
AI4CE
241
13
0
11 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
501
94
0
10 Jun 2020
Bandit Samplers for Training Graph Neural Networks
Bandit Samplers for Training Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Ziqi Liu
Zhengwei Wu
Qing Cui
Jun Zhou
Shuang Yang
Le Song
Yuan Qi
330
53
0
10 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationInternational Conference on Machine Learning (ICML), 2020
Edouard Oyallon
254
6
0
10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
738
1,588
0
10 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction
  and molecular generation
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod
Rafael Gómez-Bombarelli
3DVAI4CE
435
283
0
09 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSLHAI
420
341
0
09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
637
860
0
09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
239
144
0
09 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical
  Information Maximization
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization
S. Bandyopadhyay
Manasvi Aggarwal
M. Murty
SSL
87
6
0
08 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising
  Perspectives
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
Guoji Fu
Buse Giledereli
Jian Zhang
Kaili Ma
Barakeel Fanseu Kamhoua
James Cheng
208
22
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
Jian Pei
Xin Eric Wang
Wenwu Zhu
GNN
125
46
0
08 Jun 2020
Investigating Estimated Kolmogorov Complexity as a Means of
  Regularization for Link Prediction
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction
Paris D. L. Flood
Ramón Viñas
Pietro Lio
119
0
0
07 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding
Unsupervised Differentiable Multi-aspect Network Embedding
Chanyoung Park
Carl Yang
Qi Zhu
Donghyun Kim
Hwanjo Yu
Jiawei Han
173
32
0
07 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and
  Algebraic Multigrid Pooling
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
Eran Treister
288
27
0
07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks
  Applications
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
169
10
0
06 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
392
277
0
05 Jun 2020
Stochastic Graph Neural Networks
Stochastic Graph Neural Networks
Zhan Gao
Elvin Isufi
Alejandro Ribeiro
134
1
0
04 Jun 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity
  Features
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features
Yaniv Shulman
125
0
0
03 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large
  Random Graphs
Convergence and Stability of Graph Convolutional Networks on Large Random GraphsNeural Information Processing Systems (NeurIPS), 2020
Nicolas Keriven
A. Bietti
Samuel Vaiter
GNN
205
97
0
02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant FeaturesACM Transactions on Graphics (TOG), 2020
R. Wiersma
E. Eisemann
Klaus Hildebrandt
273
76
0
02 Jun 2020
Graph Learning with Loss-Guided Training
Graph Learning with Loss-Guided Training
Eliav Buchnik
E. Cohen
125
2
0
31 May 2020
Machine learning methods to detect money laundering in the Bitcoin
  blockchain in the presence of label scarcity
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcityInternational Conference on AI in Finance (ICAIF), 2020
Joana Lorenz
Maria Inês Silva
David Oliveira Aparício
João Tiago Ascensão
P. Bizarro
168
126
0
29 May 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Meng Liu
Zhengyang Wang
Shuiwang Ji
337
190
0
29 May 2020
Deep graph learning for semi-supervised classification
Deep graph learning for semi-supervised classificationPattern Recognition (Pattern Recognit.), 2020
Guangfeng Lin
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
Yajun Chen
GNN
136
35
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
106
5
0
27 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path
  Prediction
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionAAAI Conference on Artificial Intelligence (AAAI), 2020
Matías Mendieta
Hamed Tabkhi
121
23
0
26 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and OpportunitiesComputers & security (CS), 2020
Shuhan Yuan
Xintao Wu
AAML
161
195
0
25 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node
  Classification
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen
Jun Zhou
Longfei Zheng
Huiwen Wu
Lingjuan Lyu
Hongzhi Zhang
Bingzhe Wu
Ziqi Liu
L. xilinx Wang
Xiaolin Zheng
FedML
446
115
0
25 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
438
222
0
24 May 2020
Speaker diarization with session-level speaker embedding refinement
  using graph neural networks
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
124
27
0
22 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
277
164
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
Shucheng Zhou
OODAAML
385
771
0
20 May 2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and
  spikes to fMRI
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
J. Livezey
Joshua I. Glaser
AI4CE
261
11
0
19 May 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
136
1
0
18 May 2020
Deep Learning for Community Detection: Progress, Challenges and
  Opportunities
Deep Learning for Community Detection: Progress, Challenges and Opportunities
Fanzhen Liu
Shan Xue
Hongzhi Zhang
Chuan Zhou
Wenbin Hu
Cécile Paris
Surya Nepal
Jian Yang
Philip S. Yu
GNN
218
266
0
17 May 2020
Visual Relationship Detection using Scene Graphs: A Survey
Visual Relationship Detection using Scene Graphs: A Survey
Aniket Agarwal
Ayush Mangal
Vipul
GNN
174
21
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
324
299
0
13 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang
Mingliang Wang
Mingxia Liu
Daoqiang Zhang
225
183
0
10 May 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum
  Weighted b-Matching Problems in Online Advertising
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Xiaotian Hao
Junqi Jin
Jianye Hao
Jin Li
Weixun Wang
Yi Ma
Zhenzhe Zheng
Han Li
Jian Xu
Kun Gai
60
2
0
09 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
187
11
0
08 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
53
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
373
332
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
291
120
0
07 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against
  Edge-Perturbing Attack
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu
Beibei Li
Tao Li
Pan Zhou
Rui Wang
AAML
472
0
0
06 May 2020
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link
  Inference and Computation from Knowledge Bases
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge BasesInternational Conference on Artificial Neural Networks (ICANN), 2020
Henrique Lemos
Pedro H. C. Avelar
Marcelo O. R. Prates
Luís C. Lamb
Artur Garcez
NAI
131
3
0
05 May 2020
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