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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 / 3,089 papers shown
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
123
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
372
97
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
228
22
0
17 Dec 2019
SGVAE: Sequential Graph Variational Autoencoder
SGVAE: Sequential Graph Variational Autoencoder
Bowen Jing
Ethan A. Chi
Jillian Tang
BDL
63
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
324
88
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
401
369
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
153
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
140
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
169
76
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
205
22
0
07 Dec 2019
Classifying Diagrams and Their Parts using Graph Neural Networks: A
  Comparison of Crowd-Sourced and Expert Annotations
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations
Tuomo Hiippala
99
1
0
05 Dec 2019
CLOTH3D: Clothed 3D Humans
CLOTH3D: Clothed 3D HumansEuropean Conference on Computer Vision (ECCV), 2019
Hugo Bertiche Argila
Meysam Madadi
Sergio Escalera
3DH
231
187
0
05 Dec 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for
  Traffic Forecasting
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2019
Weiqiu Chen
Ling Chen
Yu Xie
Wei Cao
Yusong Gao
Xiaojie Feng
AI4TS
209
333
0
27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature
  Relations
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature RelationsIEEE International Joint Conference on Neural Network (IJCNN), 2019
Chen Wang
Chengyuan Deng
Vladimir A. Ivanov
GNNDRL
164
6
0
27 Nov 2019
Recursive Prediction of Graph Signals with Incoming Nodes
Recursive Prediction of Graph Signals with Incoming NodesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Arun Venkitaraman
Saikat Chatterjee
B. Wahlberg
165
7
0
26 Nov 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
191
109
0
26 Nov 2019
Graph Pruning for Model Compression
Graph Pruning for Model Compression
Mingyang Zhang
Xinyi Yu
Jingtao Rong
L. Ou
GNN
204
10
0
22 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs
Discrete and Continuous Deep Residual Learning Over GraphsInternational Conference on Agents and Artificial Intelligence (ICAART), 2019
Pedro H. C. Avelar
Anderson R. Tavares
Marco Gori
Luís C. Lamb
GNN
166
21
0
21 Nov 2019
Exponential Family Graph Embeddings
Exponential Family Graph EmbeddingsAAAI Conference on Artificial Intelligence (AAAI), 2019
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
115
13
0
20 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant
  Representations via Auto-Encoding Node-wise Transformations
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise TransformationsComputer Vision and Pattern Recognition (CVPR), 2019
Yantao Du
Wei Hu
Guo-Jun Qi
3DPC
229
47
0
19 Nov 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching
GLMNet: Graph Learning-Matching Networks for Feature Matching
Bo Jiang
Pengfei Sun
Jin Tang
Bin Luo
127
36
0
18 Nov 2019
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
427
104
0
17 Nov 2019
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
238
204
0
14 Nov 2019
On the choice of graph neural network architectures
On the choice of graph neural network architecturesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Clément Vignac
Guillermo Ortiz-Jiménez
P. Frossard
GNN
179
11
0
13 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
M. Li
Meng Dong
Jiawei Zhou
Alexander M. Rush
AI4CEGNN
148
7
0
13 Nov 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional NetworksInternational Conference on Machine Learning (ICML), 2019
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
454
156
0
12 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic PredictionAAAI Conference on Artificial Intelligence (AAAI), 2019
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TSAI4CE
393
1,707
0
11 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks
Learning to Fix Build Errors with Graph2Diff Neural NetworksInternational Conference on Software Engineering (ICSE), 2019
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
GNN
300
67
0
04 Nov 2019
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
296
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
307
43
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
185
92
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
130
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
162
100
0
23 Oct 2019
Feature Selection and Extraction for Graph Neural Networks
Feature Selection and Extraction for Graph Neural NetworksACM Southeast Regional Conference (ACMSE), 2019
D. Acharya
Huaming Zhang
83
31
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 DisordersTheory and Practice of Logic Programming (TPLP), 2019
Francesco Calimeri
Francesco Cauteruccio
Luca Cinelli
A. Marzullo
C. Stamile
G. Terracina
F. Durand-Dubief
D. Sappey-Marinier
129
22
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
128
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 networkTransportation Research Part C: Emerging Technologies (TRC), 2019
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
126
180
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
103
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
264
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
122
5
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
289
195
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 PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
222
255
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 RetrievalIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Sijin Wang
Ruiping Wang
Ziwei Yao
Shiguang Shan
Xilin Chen
3DV
205
239
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
191
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
179
3
0
09 Oct 2019
Beyond Vector Spaces: Compact Data Representation as Differentiable
  Weighted Graphs
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted GraphsNeural Information Processing Systems (NeurIPS), 2019
Denis Mazur
Vage Egiazarian
S. Morozov
Artem Babenko
230
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 predictionJournal of Chemical Information and Modeling (JCIM), 2019
Joseph A. Morrone
Matteo Terreran
T. Huynh
Heng Luo
Wendy D. Cornell
113
78
0
07 Oct 2019
Text Level Graph Neural Network for Text Classification
Text Level Graph Neural Network for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Lianzhe Huang
Dehong Ma
Sujian Li
Xiaodong Zhang
Houfeng WANG
GNN
261
297
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 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2019
Thomas Magelinski
David M. Beskow
Kathleen M. Carley
170
33
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
186
53
0
02 Oct 2019
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