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Deep Learning on Graphs: A Survey

Deep Learning on Graphs: A Survey

11 December 2018
Ziwei Zhang
Peng Cui
Wenwu Zhu
    GNN
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Papers citing "Deep Learning on Graphs: A Survey"

50 / 463 papers shown
Title
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
25
192
0
06 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
30
480
0
05 Jul 2020
Deep Feature Space: A Geometrical Perspective
Deep Feature Space: A Geometrical Perspective
Ioannis Kansizoglou
Loukas Bampis
Antonios Gasteratos
33
40
0
30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma
Junyu Xuan
Yu Guang Wang
Ming Li
Pietro Lió
GNN
39
54
0
29 Jun 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas
  in Graph Classification
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Kai Zhang
Yaokang Zhu
Jun Wang
Jie Zhang
H. Zha
14
0
0
29 Jun 2020
Fast Training of Deep Networks with One-Class CNNs
Fast Training of Deep Networks with One-Class CNNs
A. M. Hafiz
G. M. Bhat
CVBM
22
3
0
28 Jun 2020
End-to-end training of deep kernel map networks for image classification
End-to-end training of deep kernel map networks for image classification
Mingyuan Jiu
H. Sahbi
6
0
0
26 Jun 2020
Finding Patient Zero: Learning Contagion Source with Graph Neural
  Networks
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Chintan Shah
Nima Dehmamy
N. Perra
Matteo Chinazzi
A. Barabási
Alessandro Vespignani
Rose Yu
12
42
0
21 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and
  Effective Designs
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu
Yujun Yan
Lingxiao Zhao
Mark Heimann
Leman Akoglu
Danai Koutra
GNN
20
34
0
20 Jun 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
23
134
0
18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
28
14
0
18 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
27
287
0
15 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
22
1,273
0
10 Jun 2020
Deep learning of contagion dynamics on complex networks
Deep learning of contagion dynamics on complex networks
Charles Murphy
Edward Laurence
Antoine Allard
GNN
AI4CE
15
69
0
09 Jun 2020
Graph Minors Meet Machine Learning: the Power of Obstructions
Graph Minors Meet Machine Learning: the Power of Obstructions
F. Abu-Khzam
M. A. El-Wahab
Noureldin Yosri
AAML
18
0
0
08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Wang
Wenwu Zhu
GNN
42
29
0
08 Jun 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
161
0
29 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
24
171
0
27 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
20
156
0
25 May 2020
Network Comparison with Interpretable Contrastive Network Representation
  Learning
Network Comparison with Interpretable Contrastive Network Representation Learning
Takanori Fujiwara
Jian Zhao
Francine Chen
Yaoliang Yu
K. Ma
23
5
0
25 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with
  Applications to Networking
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
N. Vesselinova
Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
GNN
AI4CE
20
141
0
22 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
22
226
0
13 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Machine Learning Methods for Brain Network Classification: Application
  to Autism Diagnosis using Cortical Morphological Networks
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
Ismail Bilgen
Goktug Guvercin
I. Rekik
12
51
0
28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
19
393
0
23 Apr 2020
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering
  Framework for Hyperspectral Image
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
Yaoming Cai
Zijia Zhang
Z. Cai
Xiaobo Liu
Xinwei Jiang
Qin Yan
17
92
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
31
7
0
21 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised
  Classification
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
GNN
17
2
0
08 Apr 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
29
5
0
18 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation
Spectral Graph Attention Network with Fast Eigen-approximation
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Somayeh Sojoudi
Junzhou Huang
Wenwu Zhu
GNN
52
32
0
16 Mar 2020
Universal Function Approximation on Graphs
Universal Function Approximation on Graphs
Rickard Brüel-Gabrielsson
32
6
0
14 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAI
AI4CE
33
78
0
29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
An End-to-End Graph Convolutional Kernel Support Vector Machine
P. Corcoran
10
5
0
29 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
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
One-Class Graph Neural Networks for Anomaly Detection in Attributed
  Networks
One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks
Xuhong Wang
Baihong Jin
Ying Du
Ping Cui
Yupu Yang
GNN
17
9
0
22 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
29
90
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
22
2
0
20 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
10
3
0
10 Feb 2020
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5
  Forecasting
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang
Yanran Li
Jiang Zhang
Qingye Meng
Lingwei Meng
Fei Gao
32
134
0
10 Feb 2020
Explain Graph Neural Networks to Understand Weighted Graph Features in
  Node Classification
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification
Xiaoxiao Li
João Saúde
9
18
0
02 Feb 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
31
81
0
21 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
30
287
0
07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CE
GNN
48
277
0
29 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
27
129
0
06 Dec 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
27
94
0
26 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 Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
3DPC
25
43
0
19 Nov 2019
Deep-Learning Estimation of Band Gap with the Reading-Periodic-Table
  Method and Periodic Convolution Layer
Deep-Learning Estimation of Band Gap with the Reading-Periodic-Table Method and Periodic Convolution Layer
Tomohiko Konno
19
1
0
16 Nov 2019
Solving Optimization Problems through Fully Convolutional Networks: an
  Application to the Travelling Salesman Problem
Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
Zhengxuan Ling
Xinyu Tao
Yu Zhang
Xi Chen
17
18
0
27 Oct 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
206
747
0
03 Sep 2019
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