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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 / 2,861 papers shown
Title
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy
  Systems: A Review of Techniques, Challenges, and Future Research Directions
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
Y. Afridi
Kashif Ahmad
Laiq Hassan
AI4CE
74
53
0
20 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with
  Feature-Message Passing
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
72
9
0
20 Apr 2021
Permutation-Invariant Variational Autoencoder for Graph-Level
  Representation Learning
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
R. Winter
Frank Noé
Djork-Arné Clevert
BDLSSL
72
27
0
20 Apr 2021
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
99
41
0
19 Apr 2021
Modeling Ideological Salience and Framing in Polarized Online Groups
  with Graph Neural Networks and Structured Sparsity
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
Valentin Hofmann
Xiaowen Dong
J. Pierrehumbert
Hinrich Schütze
70
15
0
18 Apr 2021
Fair Representation Learning for Heterogeneous Information Networks
Fair Representation Learning for Heterogeneous Information Networks
Huiping Zhuang
Rashidul Islam
Kamrun Naher Keya
James R. Foulds
Yangqiu Song
Shimei Pan
63
41
0
18 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNNBDL
103
18
0
17 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
149
119
0
16 Apr 2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient
  Retrieval of Diagnostically Relevant Regions
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Yushan Zheng
Zhi-guo Jiang
Haopeng Zhang
Feng-ying Xie
Jun Shi
Chenghai Xue
33
4
0
16 Apr 2021
Accurate Prediction of Free Solvation Energy of Organic Molecules via
  Graph Attention Network and Message Passing Neural Network from Pairwise
  Atomistic Interactions
Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions
Ramin Ansari
Amirata Ghorbani
59
1
0
15 Apr 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on
  Processing-in-Memory Systems
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Maciej Besta
Raghavendra Kanakagiri
Grzegorz Kwa'sniewski
Rachata Ausavarungnirun
Jakub Beránek
...
Salvatore Di Girolamo
Marek Konieczny
Nils Blach
O. Mutlu
Torsten Hoefler
63
88
0
15 Apr 2021
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
70
98
0
15 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant
  Weight Matrices
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
81
33
0
13 Apr 2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary
  Hyperparameter Optimisation in Graph Neural Network For Molecular Property
  Prediction
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Yingfang Yuan
Wenjun Wang
Wei Pang
52
7
0
13 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
71
0
0
12 Apr 2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering
  Network
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Pengfei Wang
Chengquan Zhang
Fei Qi
Shanshan Liu
Xiaoqiang Zhang
Pengyuan Lyu
Junyu Han
Jingtuo Liu
Errui Ding
Guangming Shi
103
83
0
12 Apr 2021
Deep Attributed Network Representation Learning via Attribute Enhanced
  Neighborhood
Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood
Cong Li
Mingjiang Shi
Bo Qu
Xiang Li
42
10
0
12 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Yong-Min Shin
Cong Tran
Won-Yong Shin
Xin Cao
SSL
62
7
0
12 Apr 2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural
  Networks
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
Salva Rühling Cachay
Emma Erickson
A. Bucker
Ernest Pokropek
Willa Potosnak
S. Bire
Salomey Osei
Björn Lütjens
AI4TS
81
26
0
11 Apr 2021
AutoGL: A Library for Automated Graph Learning
AutoGL: A Library for Automated Graph Learning
Ziwei Zhang
Yijian Qin
Zeyang Zhang
Chaoyu Guan
Jie Cai
...
Beini Xie
Yang Yao
Yipeng Zhang
Xin Eric Wang
Wenwu Zhu
111
30
0
11 Apr 2021
Edge: Enriching Knowledge Graph Embeddings with External Text
Edge: Enriching Knowledge Graph Embeddings with External Text
Saed Rezayi
Handong Zhao
Sungchul Kim
Ryan Rossi
Nedim Lipka
Sheng Li
64
33
0
11 Apr 2021
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
82
11
0
10 Apr 2021
Pyramidal Reservoir Graph Neural Network
Pyramidal Reservoir Graph Neural Network
F. Bianchi
Claudio Gallicchio
Alessio Micheli
GNN
45
13
0
10 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph
  Convolutional Networks
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
H. Sahbi
3DHGNN
45
3
0
09 Apr 2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional
  Network Search
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
Chunnan Wang
Bozhou Chen
Geng Li
Hongzhi Wang
FedMLGNN
58
17
0
09 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks
Explainability-based Backdoor Attacks Against Graph Neural Networks
Jing Xu
Minhui Xue
Xue
S. Picek
85
79
0
08 Apr 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
  Kernels
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Qingqing Long
Yilun Jin
Yi Wu
Guojie Song
115
38
0
07 Apr 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Zeyu Cui
Zekun Li
Shu Wu
Xiaoyu Zhang
Qiang Liu
Liang Wang
Mengmeng Ai
GNN
60
12
0
07 Apr 2021
Structured Citation Trend Prediction Using Graph Neural Networks
Structured Citation Trend Prediction Using Graph Neural Networks
Daniel Cummings
Marcel Nassar
82
27
0
06 Apr 2021
Segmentation of EM showers for neutrino experiments with deep graph
  neural networks
Segmentation of EM showers for neutrino experiments with deep graph neural networks
V. Belavin
Ekaterina Trofimova
Andrey Ustyuzhanin
66
3
0
05 Apr 2021
Improving the Expressive Power of Graph Neural Network with Tinhofer
  Algorithm
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
Alan J. X. Guo
Qing-Hu Hou
Ou Wu
50
0
0
05 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy
  Physics
Graph Generative Models for Fast Detector Simulations in High Energy Physics
A. Hariri
Darya Dyachkova
Sergei Gleyzer
AI4CE
63
6
0
05 Apr 2021
Decentralized Statistical Inference with Unrolled Graph Neural Networks
Decentralized Statistical Inference with Unrolled Graph Neural Networks
He Wang
Yifei Shen
Ziyuan Wang
Dongsheng Li
Jun Zhang
Khaled B. Letaief
Jie Lu
FedML
40
5
0
04 Apr 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
Subhankar Roy
E. Krivosheev
Zhun Zhong
N. Sebe
Elisa Ricci
124
62
0
01 Apr 2021
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A
  Balance System Case Study
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study
Mijalche Santa
M. Abouheaf
Catia Prandi
33
20
0
01 Apr 2021
Real-time Data Infrastructure at Uber
Real-time Data Infrastructure at Uber
Yupeng Fu
Chinmay Soman
63
1
0
31 Mar 2021
Attention, please! A survey of Neural Attention Models in Deep Learning
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia
Esther Luna Colombini
HAI
132
198
0
31 Mar 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
90
49
0
30 Mar 2021
Parameterized Hypercomplex Graph Neural Networks for Graph
  Classification
Parameterized Hypercomplex Graph Neural Networks for Graph Classification
Tuan Le
Marco Bertolini
Frank Noé
Djork-Arné Clevert
54
15
0
30 Mar 2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for
  IoT
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo
S. Layeghy
Mohanad Sarhan
M. Gallagher
Marius Portmann
99
210
0
30 Mar 2021
Modeling Graph Node Correlations with Neighbor Mixture Models
Modeling Graph Node Correlations with Neighbor Mixture Models
Linfeng Liu
Michael Hughes
Liping Liu
125
0
0
29 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks
RAN-GNNs: breaking the capacity limits of graph neural networks
D. Valsesia
Giulia Fracastoro
E. Magli
GNN
79
7
0
29 Mar 2021
Learning on heterogeneous graphs using high-order relations
Learning on heterogeneous graphs using high-order relations
See Hian Lee
Feng Ji
Wee Peng Tay
52
4
0
29 Mar 2021
Joint User Association and Power Allocation in Heterogeneous Ultra Dense
  Network via Semi-Supervised Representation Learning
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning
Xinming Zhang
Zhengming Zhang
Luxi Yang
31
8
0
29 Mar 2021
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava
Gaurav Sharma
3DPC
51
16
0
28 Mar 2021
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment
  via Representation Learning
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Rui Zhang
Bayu Distiawan Trisedy
Miao Li
Yong Jiang
Jianzhong Qi
AI4TS
67
72
0
28 Mar 2021
Tensor Networks for Multi-Modal Non-Euclidean Data
Tensor Networks for Multi-Modal Non-Euclidean Data
Y. Xu
Kriton Konstantinidis
Danilo P. Mandic
26
1
0
27 Mar 2021
Rethinking Graph Neural Architecture Search from Message-passing
Rethinking Graph Neural Architecture Search from Message-passing
Shaofei Cai
Liang Li
Jincan Deng
Beichen Zhang
Zhengjun Zha
Li Su
Qingming Huang
GNNAI4CE
86
53
0
26 Mar 2021
Learning from Pixel-Level Label Noise: A New Perspective for
  Semi-Supervised Semantic Segmentation
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
Rumeng Yi
Yaping Huang
Q. Guan
Mengyang Pu
Runsheng Zhang
NoLa
75
29
0
26 Mar 2021
Beyond permutation equivariance in graph networks
Beyond permutation equivariance in graph networks
E. Slade
Francesco Farina
62
3
0
25 Mar 2021
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