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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
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
82
2
0
04 Nov 2019
Understanding Isomorphism Bias in Graph Data Sets
Understanding Isomorphism Bias in Graph Data Sets
Sergei Ivanov
Sergei Sviridov
Evgeny Burnaev
FaMLAI4CE
126
38
0
26 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
65
82
0
25 Oct 2019
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and
  Graph Prediction
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Prediction
Daniel T. Chang
AI4CEGNN
42
3
0
24 Oct 2019
Machine Learning for Scent: Learning Generalizable Perceptual
  Representations of Small Molecules
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
Benjamín Sánchez-Lengeling
Jennifer N. Wei
Brian K. Lee
R. C. Gerkin
Alán Aspuru-Guzik
Alexander B. Wiltschko
GNN
77
95
0
23 Oct 2019
Feature Selection and Extraction for Graph Neural Networks
Feature Selection and Extraction for Graph Neural Networks
D. Acharya
Huaming Zhang
46
28
0
23 Oct 2019
A Logic-Based Framework Leveraging Neural Networks for Studying the
  Evolution of Neurological Disorders
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders
Francesco Calimeri
Francesco Cauteruccio
Luca Cinelli
A. Marzullo
C. Stamile
G. Terracina
F. Durand-Dubief
D. Sappey-Marinier
46
19
0
21 Oct 2019
Relational Graph Representation Learning for Open-Domain Question
  Answering
Relational Graph Representation Learning for Open-Domain Question Answering
Sal Vivona
Kaveh Hassani
GNNNAI
67
10
0
18 Oct 2019
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
77
158
0
17 Oct 2019
Heterogeneous Graph Matching Networks
Heterogeneous Graph Matching Networks
Shen Wang
Zhengzhang Chen
Xiao Yu
Ding Li
Jingchao Ni
L. Tang
Jiaping Gui
Zhichun Li
Haifeng Chen
Philip S. Yu
49
9
0
17 Oct 2019
Dynamic Graph Convolutional Networks Using the Tensor M-Product
Dynamic Graph Convolutional Networks Using the Tensor M-Product
Osman Asif Malik
Shashanka Ubaru
L. Horesh
M. Kilmer
H. Avron
67
3
0
16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
43
5
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
86
222
0
12 Oct 2019
Cross-modal Scene Graph Matching for Relationship-aware Image-Text
  Retrieval
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
Sijin Wang
Ruiping Wang
Ziwei Yao
Shiguang Shan
Xilin Chen
3DV
93
213
0
11 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph
  Decomposition
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
Xupeng Miao
Nezihe Merve Gürel
Wentao Zhang
Zhichao Han
Yue Liu
...
Yang Zhao
Shuai Zhang
Yujing Wang
Tengjiao Wang
Ce Zhang
GNN
54
6
0
10 Oct 2019
Interpreting Deep Learning-Based Networking Systems
Interpreting Deep Learning-Based Networking Systems
Zili Meng
Minhu Wang
Jia-Ju Bai
Mingwei Xu
Hongzi Mao
Hongxin Hu
AI4CE
41
3
0
09 Oct 2019
Beyond Vector Spaces: Compact Data Representation as Differentiable
  Weighted Graphs
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur
Vage Egiazarian
S. Morozov
Artem Babenko
57
5
0
08 Oct 2019
Combining docking pose rank and structure with deep learning improves
  protein-ligand binding mode prediction
Combining docking pose rank and structure with deep learning improves protein-ligand binding mode prediction
Joseph A. Morrone
Matteo Terreran
T. Huynh
Heng Luo
Wendy D. Cornell
65
77
0
07 Oct 2019
Text Level Graph Neural Network for Text Classification
Text Level Graph Neural Network for Text Classification
Lianzhe Huang
Dehong Ma
Sujian Li
Xiaodong Zhang
Houfeng WANG
GNN
114
263
0
06 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With
  Application to Bot Detection
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection
Thomas Magelinski
David M. Beskow
Kathleen M. Carley
83
29
0
02 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Guillaume Salha-Galvan
Romain Hennequin
Michalis Vazirgiannis
GNNBDL
102
51
0
02 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
69
77
0
01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
115
27
0
01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
38
0
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
110
68
0
26 Sep 2019
Manifold Oblique Random Forests: Towards Closing the Gap on
  Convolutional Deep Networks
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
Adam Li
Ronan Perry
Chester Huynh
Tyler M. Tomita
Ronak R. Mehta
Jesús Arroyo
Jesse Patsolic
Benjamin Falk
Joshua T. Vogelstein
34
3
0
25 Sep 2019
Haar Graph Pooling
Haar Graph Pooling
Yu Guang Wang
Ming Li
Zheng Ma
Guido Montúfar
Xiaosheng Zhuang
Yanan Fan
GNN
70
8
0
25 Sep 2019
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with
  Constraints
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
Arbaaz Khan
Vijay Kumar
Alejandro Ribeiro
61
9
0
24 Sep 2019
Where are the Keys? -- Learning Object-Centric Navigation Policies on
  Semantic Maps with Graph Convolutional Networks
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
Niko Sünderhauf
88
8
0
16 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CEGNN
312
763
0
03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph
  Neural Networks
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang
Ying Wang
Cheng Liu
Lei He
Huawei Li
Xiaowei Li
GNN
91
136
0
31 Aug 2019
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload
  Rebalancing
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
Tong Geng
Ang Li
Runbin Shi
Chunshu Wu
Tianqi Wang
...
Pouya Haghi
Antonino Tumeo
Shuai Che
Steve Reinhardt
Martin C. Herbordt
GNN
92
8
0
23 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic
  Segmentation
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie
Jiaojiao Tian
Xiaoxiang Zhu
3DPC
94
206
0
23 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OODAAML
125
184
0
20 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei Wang
AI4CE
113
71
0
18 Aug 2019
Progressive Relation Learning for Group Activity Recognition
Progressive Relation Learning for Group Activity Recognition
Guyue Hu
Bo Cui
Yuan He
Shan Yu
92
81
0
08 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
157
130
0
30 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
132
1,358
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
71
19
0
24 Jul 2019
Bilinear Graph Networks for Visual Question Answering
Bilinear Graph Networks for Visual Question Answering
Dalu Guo
Chang Xu
Dacheng Tao
GNN
93
54
0
23 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs
Spectral-based Graph Convolutional Network for Directed Graphs
Yi Ma
Jianye Hao
Yaodong Yang
Han Li
Junqi Jin
Guangyong Chen
GNNBDL
74
75
0
21 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
68
79
0
19 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong
Di Wang
Chunyan Miao
119
535
0
18 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community Detection
Blaž Škrlj
Jan Kralj
Nada Lavrac
69
22
0
17 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Kaisheng Gao
Jing Zhang
Cangqi Zhou
38
8
0
12 Jul 2019
Understanding the Representation Power of Graph Neural Networks in
  Learning Graph Topology
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
106
135
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
145
971
0
10 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
83
77
0
10 Jul 2019
Graph Policy Gradients for Large Scale Robot Control
Graph Policy Gradients for Large Scale Robot Control
Arbaaz Khan
Ekaterina V. Tolstaya
Alejandro Ribeiro
Vijay Kumar
84
93
0
08 Jul 2019
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