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Graph Neural Networks: A Review of Methods and Applications
v1v2v3v4v5v6 (latest)

Graph Neural Networks: A Review of Methods and Applications

20 December 2018
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
    AI4CEGNN
ArXiv (abs)PDFHTML

Papers citing "Graph Neural Networks: A Review of Methods and Applications"

50 / 256 papers shown
Title
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
Robbert Reijnen
Yaoxin Wu
Zaharah Bukhsh
Yingqian Zhang
AI4CE
196
0
0
22 May 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
Jiawei Gu
Ziyue Qiao
Xiao Luo
197
0
0
21 May 2025
Graph Neural Networks Based Anomalous RSSI Detection
Graph Neural Networks Based Anomalous RSSI Detection
Blaž Bertalanič
Matej Vnučec
Carolina Fortuna
AI4TS
153
0
0
19 May 2025
AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
Aman Raj
Lakshit Arora
Sanjay Surendranath Girija
Shashank Kapoor
Dipen Pradhan
Ankit Shetgaonkar
229
0
0
13 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
270
0
0
29 Apr 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Juan Carlos Climent Pardo
174
0
0
24 Apr 2025
Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model
Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model
Etienne Ménager
Tanguy Navez
Paul Chaillou
O. Goury
Alexandre Kruszewski
Christian Duriez
AI4CE
156
1
0
19 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
211
0
0
15 Mar 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad
M. H. Chehreghani
264
4
0
20 Feb 2025
Learning Traffic Anomalies from Generative Models on Real-Time Observations
Learning Traffic Anomalies from Generative Models on Real-Time Observations
Fotis I. Giasemis
Alexandros Sopasakis
AI4TS
227
0
0
03 Feb 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
218
4
0
28 Jan 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Natalí S. M. de Santi
F. Villaescusa-Navarro
L. Abramo
Helen Shao
Lucia A. Perez
...
F. Marinacci
D. Spergel
K. Dolag
L. Hernquist
M. Vogelsberger
234
5
0
28 Jan 2025
Graph Neural Controlled Differential Equations For Collaborative Filtering
Graph Neural Controlled Differential Equations For Collaborative Filtering
Ke Xu
Weizhi Zhang
Zihe Song
Yuanjie Zhu
Philip S. Yu
194
1
0
23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
Emir Ceyani
Han Xie
Baturalp Buyukates
Carl Yang
Salman Avestimehr
FedML
269
0
0
22 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
199
0
0
17 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
240
3
0
07 Jan 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi
Marcel F. Langer
Michele Ceriotti
AI4CE
234
12
0
16 Dec 2024
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
Thuan Phamh
Xingpeng Li
173
1
0
09 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
187
4
0
28 Oct 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
195
0
0
25 Oct 2024
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Federico Arangath Joseph
Jerome Sieber
Melanie Zeilinger
Carmen Amo Alonso
187
0
0
14 Oct 2024
Multi-Task Program Error Repair and Explanatory Diagnosis
Multi-Task Program Error Repair and Explanatory Diagnosis
Zhenyu Xu
Victor S. Sheng
KELMLRM
169
0
0
09 Oct 2024
Diffusion Models in 3D Vision: A Survey
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Xue Liu
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
225
4
0
07 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
226
6
0
04 Oct 2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
262
0
0
20 Sep 2024
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Yifan Jia
Yanbin Wang
Jianguo Sun
Yiwei Liu
Zhang Sheng
Ye Tian
185
5
0
09 Sep 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
198
0
0
13 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OODDiffMCML
218
8
0
01 Aug 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Bruno Deprez
Toon Vanderschueren
Bart Baesens
Tim Verdonck
Wouter Verbeke
199
5
0
29 May 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu
Fenghua Ling
Wenlong Zhang
Tao Han
Hao Chen
Wanli Ouyang
Lei Bai
AI4CE
173
6
0
22 May 2024
Learning Coarse-Grained Dynamics on Graph
Learning Coarse-Grained Dynamics on Graph
Yin Yu
J. Harlim
Daning Huang
Yan Li
209
2
0
15 May 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CELRM
272
33
0
25 Jan 2024
Disentangled Condensation for Large-scale Graphs
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Mingli Song
Mingli Song
Tongya Zheng
DD
221
7
0
18 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
249
0
0
12 Jan 2024
Jointly spatial-temporal representation learning for individual trajectories
Jointly spatial-temporal representation learning for individual trajectories
Fei Huang
Jianrong Lv
Yang Yue
AI4TS
194
2
0
07 Dec 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
633
15
0
04 Oct 2023
Hypergraph Structure Inference From Data Under Smoothness Prior
Hypergraph Structure Inference From Data Under Smoothness Prior
Bohan Tang
Siheng Chen
Xiaowen Dong
168
5
0
27 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
203
26
0
16 Aug 2023
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Ángela López-Cardona
Guillermo Bernárdez
Pere Barlet-Ros
A. Cabellos-Aparicio
182
4
0
23 Dec 2022
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
210
15
0
12 Nov 2021
Design Space for Graph Neural Networks
Design Space for Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
GNNAI4CE
187
321
0
17 Nov 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
159
5
0
26 Aug 2020
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
Maria Hügle
Gabriel Kalweit
T. Huegle
Joschka Boedecker
BDL
136
20
0
14 Aug 2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object
  Interaction Detection
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
Ye Liu
Junsong Yuan
Chang Wen Chen
218
82
0
14 Aug 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
146
221
0
03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
157
373
0
03 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Kai-Wei Chang
Yizhou Sun
SSLAI4CE
155
563
0
27 Jun 2020
Graph Policy Network for Transferable Active Learning on Graphs
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu
Zheng Xiong
Meng Qu
Xingdi Yuan
Marc-Alexandre Côté
Zhiyuan Liu
Jian Tang
GNN
203
66
0
24 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
176
14
0
18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
226
959
0
17 Jun 2020
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