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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
Learning to Represent Programs with Heterogeneous Graphs
Learning to Represent Programs with Heterogeneous Graphs
Kechi Zhang
Wenhan Wang
Huangzhao Zhang
Ge Li
Zhi Jin
GNN
68
65
0
08 Dec 2020
Dynamic Structure Learning through Graph Neural Network for Forecasting
  Soil Moisture in Precision Agriculture
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
Anoushka Vyas
S. Bandyopadhyay
AI4CE
135
9
0
07 Dec 2020
Learning Graph Neural Networks with Approximate Gradient Descent
Learning Graph Neural Networks with Approximate Gradient Descent
Qunwei Li
Shaofeng Zou
Leon Wenliang Zhong
GNN
114
1
0
07 Dec 2020
Graph Mixture Density Networks
Graph Mixture Density Networks
Federico Errica
D. Bacciu
Alessio Micheli
94
18
0
05 Dec 2020
GraphPB: Graphical Representations of Prosody Boundary in Speech
  Synthesis
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
Aolan Sun
Jianzong Wang
Ning Cheng
Huayi Peng
Zhen Zeng
Lingwei Kong
Jing Xiao
67
9
0
03 Dec 2020
Graph Neural Networks for Improved El Niño Forecasting
Graph Neural Networks for Improved El Niño Forecasting
Salva Rühling Cachay
Emma Erickson
A. Bucker
Ernest Pokropek
Willa Potosnak
Salomey Osei
Björn Lütjens
30
11
0
02 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
97
24
0
02 Dec 2020
Towards explainable message passing networks for predicting carbon
  dioxide adsorption in metal-organic frameworks
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks
Ali Raza
Faaiq G. Waqar
Arni Sturluson
Cory M. Simon
Xiaoli Z. Fern
AI4CE
38
3
0
02 Dec 2020
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Chu-Hsing Lin
Changjian Li
Yuan Liu
Nenglun Chen
Yi-King Choi
Wenping Wang
3DPC
113
53
0
01 Dec 2020
Graph convolutions that can finally model local structure
Graph convolutions that can finally model local structure
Rémy Brossard
Oriel Frigo
David Dehaene
GNN
116
48
0
30 Nov 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
129
315
0
30 Nov 2020
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene
  Understanding
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding
Saqib Ali Khan
Yilei Shi
Muhammad Shahzad
Xiaoxiang Zhu
3DPC3DV
36
0
0
29 Nov 2020
Unsupervised Constrained Community Detection via Self-Expressive Graph
  Neural Network
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
S. Bandyopadhyay
Vishal Peter
SSL
54
10
0
28 Nov 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset
  for Intelligent Vehicles
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
89
27
0
27 Nov 2020
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy
  Trade-off
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
Minji Yoon
Théophile Gervet
Bryan Hooi
Christos Faloutsos
57
18
0
26 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li
Yixin Liu
Zhen Zhang
Shirui Pan
Jianliang Gao
Jiajun Bu
67
7
0
24 Nov 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes
  with Space-Filling Curves
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
Claire E. Heaney
Yuling Li
Omar K. Matar
Christopher C. Pain
AI4CE
66
17
0
24 Nov 2020
Improving Federated Relational Data Modeling via Basis Alignment and
  Weight Penalty
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Yilun Lin
Chaochao Chen
Cen Chen
Li Wang
FedML
86
8
0
23 Nov 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
53
44
0
23 Nov 2020
Stacked Graph Filter
Stacked Graph Filter
Hoang NT
Takanori Maehara
T. Murata
GNN
67
4
0
22 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Scalable Graph Neural Networks for Heterogeneous Graphs
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
66
50
0
19 Nov 2020
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon
  Entropy
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
Mingyong Zhou
UQCV
19
1
0
19 Nov 2020
Node Similarity Preserving Graph Convolutional Networks
Node Similarity Preserving Graph Convolutional Networks
Wei Jin
Hanyu Wang
Yiqi Wang
Yao Ma
Zitao Liu
Jiliang Tang
92
259
0
19 Nov 2020
Machine Learning for Phase Behavior in Active Matter Systems
Machine Learning for Phase Behavior in Active Matter Systems
A. R. Dulaney
J. Brady
25
15
0
18 Nov 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for
  Training Large Graph Convolutional Networks
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Tao Huang
Yihan Zhang
Jiajing Wu
Junyuan Fang
Zibin Zheng
GNN
21
2
0
17 Nov 2020
Automatic selection of clustering algorithms using supervised graph
  embedding
Automatic selection of clustering algorithms using supervised graph embedding
Noy Cohen-Shapira
Lior Rokach
38
16
0
16 Nov 2020
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for
  Molecular Structures
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
Shuo-feng Zhang
Yang Liu
Lei Xie
GNN
84
60
0
15 Nov 2020
Representing Deep Neural Networks Latent Space Geometries with Graphs
Representing Deep Neural Networks Latent Space Geometries with Graphs
Carlos Lassance
Vincent Gripon
Antonio Ortega
AI4CE
62
15
0
14 Nov 2020
Using Graph Neural Networks to Reconstruct Ancient Documents
Using Graph Neural Networks to Reconstruct Ancient Documents
Cecilia Ostertag
M. Beurton-Aimar
10
2
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
117
1
0
12 Nov 2020
Survey on 3D face reconstruction from uncalibrated images
Survey on 3D face reconstruction from uncalibrated images
Araceli Morales
Gemma Piella
Federico Sukno
3DH
75
63
0
11 Nov 2020
Toward Edge-Centric Network Embeddings
Toward Edge-Centric Network Embeddings
G. Pirrò
GNN
40
0
0
11 Nov 2020
Statistical learning for change point and anomaly detection in graphs
Statistical learning for change point and anomaly detection in graphs
A. Malinovskaya
Philipp Otto
T. Peters
34
1
0
10 Nov 2020
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
82
20
0
09 Nov 2020
Automorphic Equivalence-aware Graph Neural Network
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu
Quanming Yao
Pan Hui
Yong Li
61
5
0
09 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges
Graph Kernels: State-of-the-Art and Future Challenges
Karsten Borgwardt
Elisabetta Ghisu
Felipe Llinares-López
Leslie O’Bray
Bastian Rieck
AI4TS
102
107
0
07 Nov 2020
Learning with Molecules beyond Graph Neural Networks
Learning with Molecules beyond Graph Neural Networks
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAIGNN
86
3
0
06 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedMLGNN
84
73
0
06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning
  Models for Article Vectorisation
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Diego Kozlowski
Jennifer Dusdal
Jun Pang
A. Zilian
35
17
0
05 Nov 2020
Merchant Category Identification Using Credit Card Transactions
Merchant Category Identification Using Credit Card Transactions
Chin-Chia Michael Yeh
Zhongfang Zhuang
Yan Zheng
Liang Wang
Junpeng Wang
Wei Zhang
54
8
0
05 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
260
1,256
0
04 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
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context
  Learning
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
Shitong Zhu
Shasha Li
Zhongjie Wang
Xun Chen
Zhiyun Qian
S. Krishnamurthy
Kevin S. Chan
A. Swami
38
15
0
03 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive
  Semi-Supervised Learning over Large-scale Graphs
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
Yunpeng Weng
Xu Chen
Liang Chen
Wei Liu
GNN
31
10
0
03 Nov 2020
Self-supervised Representation Learning for Evolutionary Neural
  Architecture Search
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei
Yiping Tang
Chuang Niu
Haihong Hu
Yue Wang
Jimin Liang
100
21
0
31 Oct 2020
Reliable Graph Neural Networks via Robust Aggregation
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler
Daniel Zügner
Stephan Günnemann
AAMLOOD
60
72
0
29 Oct 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Zorah Lähner
OT3DPC
119
81
0
28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
103
283
0
27 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge
  Rewiring
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay
D. Thanou
Xiaowen Dong
78
31
0
26 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
BDLGNN
109
30
0
26 Oct 2020
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