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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
ArXivPDFHTML

Papers citing "Deep Learning on Graphs: A Survey"

50 / 463 papers shown
Title
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using
  Graph Neural Networks
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni
Hakim Ghazzai
Turki Alelyani
Y. Massoud
29
25
0
01 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
16
178
0
27 May 2021
Motif Prediction with Graph Neural Networks
Motif Prediction with Graph Neural Networks
Maciej Besta
Raphael Grob
Cesare Miglioli
Nico Bernold
Grzegorz Kwa'sniewski
...
Raghavendra Kanakagiri
Saleh Ashkboos
Lukas Gianinazzi
Nikoli Dryden
Torsten Hoefler
26
37
0
26 May 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular
  Graphs
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
Willis Hoke
D. Shea
S. Casey
AI4CE
27
0
0
26 May 2021
AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD
  Assemblies
AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies
Benjamin T. Jones
Dalton Hildreth
Duowen Chen
Ilya Baran
Vladimir G. Kim
Adriana Schulz
28
43
0
25 May 2021
Heterogeneous Data Fusion Considering Spatial Correlations using Graph
  Convolutional Networks and its Application in Air Quality Prediction
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
Zhengjing Ma
Gang Mei
S. Cuomo
F. Piccialli
14
10
0
24 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
25
4
0
23 May 2021
Multimodal and Contrastive Learning for Click Fraud Detection
Multimodal and Contrastive Learning for Click Fraud Detection
Weibin Li
Qiwei Zhong
Qingyang Zhao
Hongchun Zhang
Xiaonan Meng
19
1
0
08 May 2021
Brain Multigraph Prediction using Topology-Aware Adversarial Graph
  Neural Network
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
MedIm
AI4CE
18
16
0
06 May 2021
Neural Weighted A*: Learning Graph Costs and Heuristics with
  Differentiable Anytime A*
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*
Alberto Archetti
Marco Cannici
Matteo Matteucci
17
4
0
04 May 2021
Graph Learning: A Survey
Graph Learning: A Survey
Feng Xia
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
24
343
0
03 May 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph
  Representation Learning
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Indro Spinelli
Simone Scardapane
Amir Hussain
A. Uncini
FaML
35
80
0
29 Apr 2021
Graph Neural Networks for Traffic Forecasting
Graph Neural Networks for Traffic Forecasting
João Rico
J. Barateiro
Arlindo L. Oliveira
AI4TS
AI4CE
21
12
0
27 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
32
283
0
27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
64
60
0
26 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
47
11
0
21 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient
  Detection of Nutrient Deficiency Stress from Aerial Imagery
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Saba Dadsetan
David Pichler
David Wilson
N. Hovakimyan
Jennifer Hobbs
47
6
0
20 Apr 2021
Mapping the Internet: Modelling Entity Interactions in Complex
  Heterogeneous Networks
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Šimon Mandlík
Tomás Pevný
27
5
0
19 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
11
86
0
18 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNN
BDL
23
16
0
17 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
36
115
0
16 Apr 2021
Deep Attributed Network Representation Learning via Attribute Enhanced
  Neighborhood
Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood
Cong Li
Mingjiang Shi
Bo Qu
Xiang Li
29
10
0
12 Apr 2021
AutoGL: A Library for Automated Graph Learning
AutoGL: A Library for Automated Graph Learning
Ziwei Zhang
Yijian Qin
Zeyang Zhang
Chaoyu Guan
Jie Cai
...
Beini Xie
Yang Yao
Yipeng Zhang
Xin Wang
Wenwu Zhu
27
30
0
11 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph
  Convolutional Networks
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
H. Sahbi
3DH
GNN
18
3
0
09 Apr 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph
  Convolutional Networks
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei
Hussain Alattas
N. Kaaniche
GNN
19
8
0
05 Apr 2021
Improving the Expressive Power of Graph Neural Network with Tinhofer
  Algorithm
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
Alan J. X. Guo
Qing-Hu Hou
Ou Wu
27
0
0
05 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
25
46
0
30 Mar 2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Xuan Ma
Xiaoshan Yang
Junyuan Gao
Changsheng Xu
17
2
0
23 Mar 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution
  Networks
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks
Mingming Lu
Ya Zhang
OOD
AAML
21
0
0
23 Mar 2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
Xiaoyu Pan
Jiancong Huang
Jiaming Mai
He Wang
Honglin Li
Tongkui Su
Wenjun Wang
Xiaogang Jin
3DH
17
5
0
19 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
16
498
0
13 Mar 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
29
100
0
10 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
35
108
0
08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends,
  Challenges and Outlook
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
27
32
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application
  Considerations & Outlook
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
35
26
0
02 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph
  Representations with Multiple Localities
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities
Takeshi D. Itoh
Takatomi Kubo
K. Ikeda
34
29
0
02 Mar 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang
Xin Wang
Wenwu Zhu
19
85
0
01 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
  Imbalanced Data
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
27
72
0
27 Feb 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related
  Time Series
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Xing Han
S. Dasgupta
Joydeep Ghosh
AI4TS
31
34
0
25 Feb 2021
Spotting Silent Buffer Overflows in Execution Trace through Graph Neural
  Network Assisted Data Flow Analysis
Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis
Zhilong Wang
Li Yu
Suhang Wang
Peng Liu
11
4
0
20 Feb 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
19
46
0
20 Feb 2021
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
D. Gonçalves
Mauro dos Santos de Arruda
H. Pistori
V. Fernandes
A. P. Ramos
...
L. Osco
Hongjie He
Jonathan Li
J. M. Junior
W. Gonçalves
47
2
0
05 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
197
0
28 Jan 2021
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
40
837
0
27 Jan 2021
A Review of Graph Neural Networks and Their Applications in Power
  Systems
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Yuelong Wang
Yusen Wang
GNN
AI4CE
27
210
0
25 Jan 2021
Edge-Featured Graph Attention Network
Edge-Featured Graph Attention Network
Jun Chen
Hao-peng Chen
GNN
21
34
0
19 Jan 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
108
228
0
18 Jan 2021
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud
  System
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
Yiwen Han
Shihao Shen
Xiaofei Wang
Shiqiang Wang
Victor C. M. Leung
37
61
0
17 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular
  dynamics force fields
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
Zun Wang
Chong Wang
Sibo Zhao
Shiqiao Du
Yong Xu
B. Gu
W. Duan
AI4CE
27
14
0
08 Jan 2021
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