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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 / 2,808 papers shown
Title
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Fangke Ye
Jisheng Zhao
Vivek Sarkar
BDL
GNN
14
3
0
13 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for
  Attributed Graph Clustering
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
Chaojie Ji
Hongwei Chen
Ruxin Wang
Yunpeng Cai
Hongyan Wu
4
12
0
12 Sep 2020
Planning with Learned Object Importance in Large Problem Instances using
  Graph Neural Networks
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
23
78
0
11 Sep 2020
Beyond Localized Graph Neural Networks: An Attributed Motif
  Regularization Framework
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Aravind Sankar
Junting Wang
A. Krishnan
Hari Sundaram
17
21
0
11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
17
46
0
08 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Sebastian Mežnar
Nada Lavrac
Blaž Škrlj
11
5
0
08 Sep 2020
Addressing Cold Start in Recommender Systems with Hierarchical Graph
  Neural Networks
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks
I. Maksimov
Rodrigo Rivera-Castro
Evgeny Burnaev
CML
AI4CE
23
6
0
07 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
8
158
0
07 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware
  Disease Prediction
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
Yongxiang Huang
Albert C. S. Chung
MedIm
9
60
0
06 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
13
7
0
04 Sep 2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph
  Representation Learning
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSL
GNN
14
28
0
03 Sep 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional Networks
Kun Zhan
Chaoxi Niu
SSL
22
31
0
02 Sep 2020
Lifelong Graph Learning
Lifelong Graph Learning
Chen Wang
Yuheng Qiu
Dasong Gao
S. Scherer
CLL
GNN
AI4CE
18
51
0
01 Sep 2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous
  Academic Networks
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Qingyun Sun
Hao Peng
Jianxin Li
Senzhang Wang
Xiangyu Dong
Liangxuan Zhao
Philip S. Yu
Lifang He
11
19
0
30 Aug 2020
Loss convergence in a causal Bayesian neural network of retail firm
  performance
Loss convergence in a causal Bayesian neural network of retail firm performance
F. T. Rogers
BDL
CML
12
0
0
29 Aug 2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee
Moonjung Eo
Euna Jung
Yoonjin Yoon
Wonjong Rhee
GNN
AI4TS
8
52
0
28 Aug 2020
Decoupled Variational Embedding for Signed Directed Networks
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen
Jiangchao Yao
Maosen Li
Ya-Qin Zhang
Yanfeng Wang
6
4
0
28 Aug 2020
Language Models as Emotional Classifiers for Textual Conversations
Language Models as Emotional Classifiers for Textual Conversations
Connor T. Heaton
David M. Schwartz
8
6
0
27 Aug 2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural
  Network based Approach
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Kelong Mao
Xi Xiao
Jieming Zhu
Biao Lu
Ruiming Tang
Xiuqiang He
31
22
0
26 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
17
5
0
26 Aug 2020
Learning Node Representations against Perturbations
Learning Node Representations against Perturbations
Xu Chen
Yuangang Pan
Ivor Tsang
Ya-Qin Zhang
6
3
0
26 Aug 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree
  Hierarchy
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He
Arpan Man Sainju
Zhe Jiang
Da Yan
8
9
0
25 Aug 2020
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
114
115
0
24 Aug 2020
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Xingyue Pu
Siu Lun Chau
Xiaowen Dong
Dino Sejdinovic
9
20
0
23 Aug 2020
Graph Convolutional Networks Reveal Neural Connections Encoding
  Prosthetic Sensation
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation
Vivek Subramanian
Joshua Khani
6
0
0
23 Aug 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of
  Tabular NAS Benchmarks
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela
Julien N. Siems
Lucas Zimmer
Jovita Lukasik
M. Keuper
Frank Hutter
34
75
0
22 Aug 2020
Optimization of Graph Neural Networks with Natural Gradient Descent
Optimization of Graph Neural Networks with Natural Gradient Descent
M. Izadi
Yihao Fang
R. Stevenson
Lizhen Lin
GNN
22
41
0
21 Aug 2020
A comparative study of similarity-based and GNN-based link prediction
  approaches
A comparative study of similarity-based and GNN-based link prediction approaches
K. Islam
Sabeur Aridhi
Malika Smaïl-Tabbone
6
10
0
20 Aug 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged
  Fraudsters
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou
Zhiwei Liu
Li Sun
Yutong Deng
Hao Peng
Philip S. Yu
AAML
11
449
0
19 Aug 2020
SoDA: Multi-Object Tracking with Soft Data Association
SoDA: Multi-Object Tracking with Soft Data Association
Wei-Chih Hung
Henrik Kretzschmar
Tsung-Yi Lin
Yuning Chai
Ruichi Yu
Ming-Hsuan Yang
Drago Anguelov
VOT
34
15
0
18 Aug 2020
Learning Graph Edit Distance by Graph Neural Networks
Learning Graph Edit Distance by Graph Neural Networks
Pau Riba
Andreas Fischer
Josep Lladós
Alicia Fornés
GNN
16
23
0
17 Aug 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular
  Optimization
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
Chaojie Ji
Yijia Zheng
Ruxin Wang
Yunpeng Cai
Hongyan Wu
10
17
0
14 Aug 2020
Interpretation of Brain Morphology in Association to Alzheimer's Disease
  Dementia Classification Using Graph Convolutional Networks on Triangulated
  Meshes
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
Emanuel A. Azcona
P. Besson
Yunan Wu
Arjun Punjabi
Adam Martersteck
Amil Dravid
T. Parrish
S. Bandt
Aggelos K. Katsaggelos
MedIm
14
10
0
14 Aug 2020
Lifelong Property Price Prediction: A Case Study for the Toronto Real
  Estate Market
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
Hao Peng
Jianxin Li
Z. Wang
Renyu Yang
Mingzhe Liu
Mingming Zhang
Philip S. Yu
Lifang He
3DV
11
26
0
12 Aug 2020
Quaternion Graph Neural Networks
Quaternion Graph Neural Networks
D. Q. Nguyen
T. Nguyen
Dinh Q. Phung
GNN
4
32
0
12 Aug 2020
A Multi-Task Learning Approach for Human Activity Segmentation and
  Ergonomics Risk Assessment
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment
Behnoosh Parsa
A. Banerjee
9
2
0
07 Aug 2020
Pose-based Modular Network for Human-Object Interaction Detection
Pose-based Modular Network for Human-Object Interaction Detection
Zhijun Liang
Junfa Liu
Y. Guan
Juan Rojas
26
15
0
05 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and
  Applications
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
11
62
0
05 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng
Zichen Miao
Qiang Qiu
GNN
14
0
0
04 Aug 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for
  Large Eigengaps of Dense Graphs and Hypergraphs
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs
Dominik Alfke
Martin Stoll
GNN
8
5
0
03 Aug 2020
Neural Architecture Search in Graph Neural Networks
Neural Architecture Search in Graph Neural Networks
Matheus Nunes
G. Pappa
GNN
AI4CE
6
29
0
31 Jul 2020
Embedding Ranking-Oriented Recommender System Graphs
Embedding Ranking-Oriented Recommender System Graphs
Taher Hekmatfar
Saman Haratizadeh
S. Goliaei
9
7
0
31 Jul 2020
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
19
152
0
31 Jul 2020
G-CREWE: Graph CompREssion With Embedding for Network Alignment
G-CREWE: Graph CompREssion With Embedding for Network Alignment
K. K. Qin
Flora D. Salim
Yongli Ren
Wei Shao
Mark Heimann
Danai Koutra
GNN
6
27
0
30 Jul 2020
Boosting Ant Colony Optimization via Solution Prediction and Machine
  Learning
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Yuan Sun
Sheng Wang
Yunzhuang Shen
Xiaodong Li
Andreas T. Ernst
M. Kirley
14
28
0
29 Jul 2020
Supervised learning on heterogeneous, attributed entities interacting
  over time
Supervised learning on heterogeneous, attributed entities interacting over time
A. Laghaout
11
0
0
22 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
9
2
0
22 Jul 2020
Second-Order Pooling for Graph Neural Networks
Second-Order Pooling for Graph Neural Networks
Zhengyang Wang
Shuiwang Ji
GNN
6
80
0
20 Jul 2020
PanRep: Graph neural networks for extracting universal node embeddings
  in heterogeneous graphs
PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphs
V. Ioannidis
Da Zheng
George Karypis
SSL
12
4
0
20 Jul 2020
Integrating Network Embedding and Community Outlier Detection via
  Multiclass Graph Description
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
S. Bandyopadhyay
Saley Vishal Vivek
M. Murty
13
6
0
20 Jul 2020
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