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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 / 3,092 papers shown
Temporal Attribute Prediction via Joint Modeling of Multi-Relational
  Structure Evolution
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Sankalp Garg
Navodita Sharma
Woojeong Jin
Xiang Ren
AI4TS
233
9
0
09 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A SurveyComputers & Operations Research (Comput. Oper. Res.), 2020
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
481
727
0
07 Mar 2020
Teaching Temporal Logics to Neural Networks
Teaching Temporal Logics to Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Christopher Hahn
Frederik Schmitt
Jens U. Kreber
M. Rabe
Bernd Finkbeiner
NAI
427
76
0
06 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point CloudComputer Vision and Pattern Recognition (CVPR), 2020
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
548
883
0
02 Mar 2020
Semiparametric Nonlinear Bipartite Graph Representation Learning with
  Provable Guarantees
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable GuaranteesInternational Conference on Machine Learning (ICML), 2020
Sen Na
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
204
7
0
02 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.4K
1,121
0
02 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
EvoNet: A Neural Network for Predicting the Evolution of Dynamic GraphsInternational Conference on Artificial Neural Networks (ICANN), 2020
Changmin Wu
Giannis Nikolentzos
Michalis Vazirgiannis
GNN
454
14
0
02 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
Lumin Yang
Jiajie Zhuang
Hongbo Fu
Xiangzhi Wei
Kun Zhou
Youyi Zheng
271
32
0
02 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and
  Empirical Studies
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Wei Jin
Yaxin Li
Han Xu
Yiqi Wang
Shuiwang Ji
Charu C. Aggarwal
Shucheng Zhou
AAMLGNN
399
107
0
02 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAIAI4CE
412
97
0
29 Feb 2020
Towards a predictive spatio-temporal representation of brain data
Towards a predictive spatio-temporal representation of brain data
Tiago Azevedo
L. Passamonti
Pietro Lio
N. Toschi
235
9
0
29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
An End-to-End Graph Convolutional Kernel Support Vector MachineApplied Network Science (Appl Netw Sci), 2020
P. Corcoran
176
7
0
29 Feb 2020
Learning Nonparametric Human Mesh Reconstruction from a Single Image
  without Ground Truth Meshes
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth MeshesInternational Conference on Information Photonics (ICIP), 2020
Kevin Qinghong Lin
Lijuan Wang
Ying Jin
Zicheng Liu
Ming-Ting Sun
3DH
194
4
0
28 Feb 2020
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
209
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
183
77
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
317
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
340
92
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
336
99
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
114
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
234
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
243
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
200
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
233
59
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
100
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
174
57
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
74
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
241
6
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
623
362
0
10 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert
Graph Neural Distance Metric Learning with Graph-Bert
Jiawei Zhang
164
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
255
34
0
09 Feb 2020
Message Passing Query Embedding
Message Passing Query Embedding
Daniel Daza
Michael Cochez
GNN
184
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
129
55
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
380
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
50
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
117
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
207
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
194
104
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
122
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
211
91
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
195
52
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
129
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
443
20
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
201
155
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
208
200
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
472
6
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
259
336
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
250
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
842
59
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
277
312
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
166
39
0
28 Dec 2019
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