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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 / 2,806 papers shown
Title
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
G. Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Bernard Ghanem
3DPC
GNN
19
137
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
9
212
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
20
180
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
Bo-wen Li
...
Yang Zhao
Shuai Zhang
Yujing Wang
Bin Cui
Ce Zhang
GNN
6
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
14
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
24
4
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
6
69
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
8
253
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
9
27
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
GNN
BDL
19
48
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
9
74
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
12
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
11
0
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
D. Q. Nguyen
T. Nguyen
Dinh Q. Phung
ViT
13
51
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
13
0
0
25 Sep 2019
Haar Graph Pooling
Haar Graph Pooling
Yu Guang Wang
Ming Li
Zheng Ma
Guido Montúfar
Xiaosheng Zhuang
Yanan Fan
GNN
6
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 R. Kumar
Alejandro Ribeiro
8
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
11
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
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
182
731
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
6
117
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
8
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
14
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
OOD
AAML
14
181
0
20 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei-Yue Wang
AI4CE
17
50
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
14
76
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
19
124
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
11
1,289
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
6
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
17
50
0
23 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs
Spectral-based Graph Convolutional Network for Directed Graphs
Y. Ma
Jianye Hao
Yaodong Yang
Han Li
Junqi Jin
Guangyong Chen
GNN
BDL
8
64
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
15
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
C. Miao
7
391
0
18 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community Detection
Blaž Škrlj
Jan Kralj
Nada Lavrac
16
16
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
9
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
14
130
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
14
841
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
17
73
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 R. Kumar
6
81
0
08 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo-feng Zhang
Lei Xie
GNN
13
55
0
04 Jul 2019
Structure fusion based on graph convolutional networks for
  semi-supervised classification
Structure fusion based on graph convolutional networks for semi-supervised classification
Guangfeng Lin
Jing Wang
Kaiyang Liao
Fan Zhao
Wanjun Chen
6
6
0
02 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
C. Alippi
GNN
8
37
0
30 Jun 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning
  on Large-scale Bipartite Graphs
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
Chaoyang He
Tian Xie
Yu Rong
Wenbing Huang
Junzhou Huang
Xiang Ren
Cyrus Shahabi
17
5
0
27 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Matej Balog
B. V. Merrienboer
Subhodeep Moitra
Yujia Li
Daniel Tarlow
GNN
15
10
0
27 Jun 2019
Signed Graph Attention Networks
Signed Graph Attention Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
11
112
0
26 Jun 2019
Predicting Research Trends with Semantic and Neural Networks with an
  application in Quantum Physics
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
Mario Krenn
A. Zeilinger
GNN
9
73
0
17 Jun 2019
Neural Theorem Provers Do Not Learn Rules Without Exploration
Neural Theorem Provers Do Not Learn Rules Without Exploration
Michiel de Jong
Fei Sha
NAI
4
7
0
17 Jun 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
6
407
0
15 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules
Hierarchical Graph-to-Graph Translation for Molecules
Wengong Jin
Regina Barzilay
Tommi Jaakkola
14
16
0
11 Jun 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
19
456
0
11 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
  Networks
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan
Mingde Zhao
X. Chang
Doina Precup
GNN
15
147
0
05 Jun 2019
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