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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 / 3,079 papers shown
Title
Graph Representation Learning for Merchant Incentive Optimization in
  Mobile Payment Marketing
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment MarketingInternational Conference on Information and Knowledge Management (CIKM), 2019
Ziqi Liu
Dong Wang
Qianyu Yu
Qing Cui
Yue Shen
...
Leon Wenliang Zhong
Jinjie Gu
Jun Zhou
Shuang Yang
Yuan Qi
OffRL
163
15
0
27 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral
  Measures
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral MeasuresInternational Conference on Learning Representations (ICLR), 2020
Jatin Chauhan
Deepak Nathani
Manohar Kaul
162
75
0
27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
242
50
0
27 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional NetworkIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
271
91
0
24 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph NetworksInternational Conference on Learning Representations (ICLR), 2020
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
271
98
0
21 Feb 2020
A Convolutional Neural Network into graph space
A Convolutional Neural Network into graph space
Maxime Martineau
R. Raveaux
Donatello Conte
G. Venturini
GNN
66
2
0
20 Feb 2020
Embedding Graph Auto-Encoder for Graph Clustering
Embedding Graph Auto-Encoder for Graph Clustering
Hongyuan Zhang
Rui Zhang
Xuelong Li
GNN
150
12
0
20 Feb 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a
  Graph-to-Sequence Neural Model
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
Steve Kommrusch
Théo Barollet
L. Pouchet
190
6
0
17 Feb 2020
Generalized Embedding Machines for Recommender Systems
Generalized Embedding Machines for Recommender SystemsMachine Intelligence Research (MIR), 2020
Enneng Yang
Xin Xin
Li Shen
G. Guo
96
3
0
16 Feb 2020
Superpixel Image Classification with Graph Attention Networks
Superpixel Image Classification with Graph Attention NetworksSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020
Pedro H. C. Avelar
Anderson R. Tavares
T. L. T. D. Silveira
C. R. Jung
Luís C. Lamb
GNN
193
57
0
13 Feb 2020
Neural Network Approximation of Graph Fourier Transforms for Sparse
  Sampling of Networked Flow Dynamics
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Alessio Pagani
Zhuangkun Wei
Ricardo Silva
Weisi Guo
72
2
0
11 Feb 2020
Feature Importance Estimation with Self-Attention Networks
Feature Importance Estimation with Self-Attention NetworksEuropean Conference on Artificial Intelligence (ECAI), 2020
Blaž Škrlj
Jannis Brugger
Nada Lavrac
Matej Petković
FAttMILM
142
55
0
11 Feb 2020
Regularizing Semi-supervised Graph Convolutional Networks with a
  Manifold Smoothness Loss
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li
Wanquan Liu
Ling Li
61
0
0
11 Feb 2020
LoCEC: Local Community-based Edge Classification in Large Online Social
  Networks
LoCEC: Local Community-based Edge Classification in Large Online Social NetworksIEEE International Conference on Data Engineering (ICDE), 2020
Chonggang Song
Qian Lin
Guohui Ling
Zong Zhang
Hongzhao Chen
Jun Liao
Chuan Chen
GNN
214
5
0
11 Feb 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?Neural Information Processing Systems (NeurIPS), 2020
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
411
353
0
10 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert
Graph Neural Distance Metric Learning with Graph-Bert
Jiawei Zhang
79
6
0
09 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for
  Hypergraphs
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
S. Bandyopadhyay
Kishalay Das
M. Murty
GNN
189
34
0
09 Feb 2020
Message Passing Query Embedding
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
163
8
0
06 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
120
52
0
06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNNBDL
270
6
0
05 Feb 2020
Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning
  Method
Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
S. Razavi
SSL
44
1
0
28 Jan 2020
Lattice-based Improvements for Voice Triggering Using Graph Neural
  Networks
Lattice-based Improvements for Voice Triggering Using Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Pranay Dighe
Saurabh N. Adya
Nuoyu Li
Srikanth Vishnubhotla
Devang Naik
Adithya Sagar
Ying Ma
S. Pulman
Jason D. Williams
99
11
0
25 Jan 2020
Comparison of Syntactic and Semantic Representations of Programs in
  Neural Embeddings
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings
Austin P. Wright
H. Wiklicky
GNNNAI
139
0
0
24 Jan 2020
Adversarial Attack on Community Detection by Hiding Individuals
Adversarial Attack on Community Detection by Hiding IndividualsThe Web Conference (WWW), 2020
Jia Li
Honglei Zhang
Zhichao Han
Yu Rong
Hong Cheng
Junzhou Huang
AAML
136
97
0
22 Jan 2020
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on
  Graph Semi-Supervised Classification
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
Jiawei Zhang
GNN
95
4
0
22 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
164
90
0
21 Jan 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Guillaume Salha-Galvan
Romain Hennequin
Michalis Vazirgiannis
GNN
162
51
0
21 Jan 2020
Inference for Network Structure and Dynamics from Time Series Data via
  Graph Neural Network
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Mengyuan Chen
Jiang Zhang
Zhang Zhang
Lun Du
Qiao Hu
Shuo Wang
Jiaqi Zhu
AI4CE
99
8
0
18 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra
Aleksandra Piktus
Gerard Goossen
Fabrizio Silvestri
AI4CE
373
19
0
17 Jan 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity AnalysisFrontiers in Neuroscience (Front. Neurosci.), 2020
Byung-Hoon Kim
J. C. Ye
AI4CEGNN
184
149
0
10 Jan 2020
Geometric deep learning for computational mechanics Part I: Anisotropic
  Hyperelasticity
Geometric deep learning for computational mechanics Part I: Anisotropic HyperelasticityComputer Methods in Applied Mechanics and Engineering (CMAME), 2020
Nikolaos N. Vlassis
R. Ma
WaiChing Sun
AI4CE
118
192
0
08 Jan 2020
Visual-Semantic Graph Attention Networks for Human-Object Interaction
  Detection
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
Zhijun Liang
Juan Rojas
Junfa Liu
Y. Guan
391
5
0
07 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid ArchitectureInternational Symposium on High-Performance Computer Architecture (HPCA), 2020
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
211
326
0
07 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from
  Graph Topology to Applications
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications
Ljubisa Stankovic
Danilo P. Mandic
M. Daković
M. Brajović
Bruno Scalzo
Shengxi Li
A. Constantinides
196
23
0
02 Jan 2020
Histogram Layers for Texture Analysis
Histogram Layers for Texture AnalysisIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Joshua Peeples
Weihuang Xu
A. Zare
607
58
0
01 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for GraphsNeural Networks (NN), 2019
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CEGNN
219
301
0
29 Dec 2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
RoadTagger: Robust Road Attribute Inference with Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019
Songtao He
Favyen Bastani
Satvat Jagwani
Edward Park
Sofiane Abbar
Mohammad Alizadeh
H. Balakrishnan
Sanjay Chawla
Samuel Madden
M. Sadeghi
137
38
0
28 Dec 2019
Multi-Label Graph Convolutional Network Representation Learning
Multi-Label Graph Convolutional Network Representation LearningIEEE Transactions on Big Data (IEEE Trans. Big Data), 2019
Min Shi
Yufei Tang
Xingquan Zhu
Jianxun Liu
99
28
0
26 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient
  Learning
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Min Shi
Yufei Tang
Xingquan Zhu
Jianxun Liu
GNN
121
14
0
26 Dec 2019
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A SurveyData mining and knowledge discovery (DMKD), 2019
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
176
88
0
25 Dec 2019
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional
  Networks for Skeleton-based Action Recognition
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition
Jialin Gao
Tong He
Xiaoping Zhou
Shiming Ge
112
18
0
24 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition
Multi-Graph Transformer for Free-Hand Sketch RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Peng Xu
Chaitanya K. Joshi
Xavier Bresson
ViT
319
94
0
24 Dec 2019
A literature survey of matrix methods for data science
A literature survey of matrix methods for data scienceGAMM-Mitteilungen (GAMM), 2019
Martin Stoll
183
22
0
17 Dec 2019
SGVAE: Sequential Graph Variational Autoencoder
SGVAE: Sequential Graph Variational Autoencoder
Bowen Jing
Ethan A. Chi
Jillian Tang
BDL
59
2
0
17 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point
  Clouds
C-Flow: Conditional Generative Flow Models for Images and 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2019
Albert Pumarola
S. Popov
Francesc Moreno-Noguer
V. Ferrari
3DPCAI4CE
252
87
0
15 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems
Learning Improvement Heuristics for Solving Routing ProblemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
256
358
0
12 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture
  Performance Prediction
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
David Friede
Jovita Lukasik
Heiner Stuckenschmidt
Margret Keuper
GNNBDLDRL
131
8
0
11 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation
  Framework for Homogeneous Networks
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
S. Bandyopadhyay
Anirban Biswas
Narasimha M. Murty
Ramasuri Narayanam
GNN
108
15
0
11 Dec 2019
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
AI2D-RST: A multimodal corpus of 1000 primary school science diagramsLanguage Resources and Evaluation (LRE), 2019
Tuomo Hiippala
Malihe Alikhani
Jonas Haverinen
Timo Kalliokoski
E. Logacheva
Serafina Orekhova
Aino Tuomainen
Matthew Stone
J. Bateman
140
72
0
09 Dec 2019
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition
  and Postural Assessment
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural AssessmentIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Behnoosh Parsa
Athma Narayanan
Behzad Dariush
3DH
169
21
0
07 Dec 2019
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