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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 / 3,089 papers shown
Learning Privacy from Visual Entities
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Andrea Cavallaro
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Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2025
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
365
1
0
15 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Yanzhe Zhang
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAGAI4CE
304
7
0
14 Mar 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
Hyunwoo Park
Baekryun Seong
Sang-Ki Ko
GNN
284
1
0
14 Mar 2025
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid SimulationComputer Vision and Pattern Recognition (CVPR), 2025
Zeyi Xu
Jinfan Liu
Kuangxu Chen
Ye Chen
Zhangli Hu
Bingbing Ni
274
4
0
13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Longji Xu
Wenqi Fan
Suhang Wang
Yao Ma
260
6
0
13 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Huidong Liang
Haitz Sáez de Ocáriz Borde
Baskaran Sripathmanathan
Michael M. Bronstein
Xiaowen Dong
GNN
472
8
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12 Mar 2025
STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
Jin Wenzhe
Tang Haina
Zhang Xudong
DiffM
196
2
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11 Mar 2025
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
Merve Cigdem Ipek
Sevil Sen
303
0
0
10 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue
Guangzhi Qu
Lige Gan
GANFAttAI4CE
244
0
0
08 Mar 2025
Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study
Nenad Petrovic
Yurui Zhang
Moaad Maaroufi
Kuo-Yi Chao
Lukasz Mazur
Fengjunjie Pan
Vahid Zolfaghari
Alois C. Knoll
322
6
0
06 Mar 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar
Nathan Griffiths
T. Popham
A. Bhalerao
AI4TSLRM
212
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0
06 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
268
2
0
05 Mar 2025
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
Attila Lischka
Simon Rauch
Oliver Stritzel
GNN
209
1
0
05 Mar 2025
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Sourajit Das
Navid Naderializadeh
Rahul Mangharam
429
2
0
05 Mar 2025
GRAIN: Exact Graph Reconstruction from GradientsInternational Conference on Learning Representations (ICLR), 2025
Maria Drencheva
Ivo Petrov
Maximilian Baader
Dimitar I. Dimitrov
Martin Vechev
FedML
331
4
0
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Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
290
0
0
03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery CurvatureKnowledge Discovery and Data Mining (KDD), 2025
Asela Hevapathige
Ahad N. Zehmakan
Qing Wang
277
3
0
03 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Hanmo Liu
Haoyang Li
Xun Jian
Yijiao Wang
Lei Chen
CLL
303
0
0
03 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
304
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0
01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
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Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
323
1
0
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WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks
Jana Vatter
Mykhaylo Zayats
Marcos Martínez Galindo
V. López
R. Mayer
Hans-Arno Jacobsen
Hoang Thanh Lam
GNN
183
0
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27 Feb 2025
A Generative Model Enhanced Multi-Agent Reinforcement Learning Method for Electric Vehicle Charging Navigation
A Generative Model Enhanced Multi-Agent Reinforcement Learning Method for Electric Vehicle Charging Navigation
Tianyang Qi
Shibo Chen
Jun Zhang
244
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27 Feb 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systemsExpert systems with applications (ESWA), 2025
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
166
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26 Feb 2025
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
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Chung-Yu Wang
Hamed Taherkhani
Melika Sepidband
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Hung Viet Pham
ALMELM
569
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SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
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Meihan Zhang
Shuqi Li
Xinyu Gao
James A. Wohlschlegel
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Yi Yang
Weixian Deng
185
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Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
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R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
320
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25 Feb 2025
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
Akash Vartak
Khondoker Murad Hossain
Tim Oates
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167
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25 Feb 2025
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
268
0
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Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
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O. Ahmad
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Mudassir Shabbir
X. Koutsoukos
W. Abbas
228
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0
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Scalable Graph Condensation with Evolving Capabilities
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Shengbo Gong
Mohammad Hashemi
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Carl Yang
Wei Jin
376
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Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
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Zahed Rahmati
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OOD
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A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
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Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
413
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24 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsThe Web Conference (WWW), 2025
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
371
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22 Feb 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural NetworksGerman Conference on Pattern Recognition (GCPR), 2023
Mayar Lotfy
Anna Alperovich
Tommaso Giannantonio
Bjorn Barz
Xiaohan Zhang
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Nassir Navab
F. Boehm
Carolin Schwamborn
Thomas K. Hoffmann
PatrickJ. Schuler
442
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21 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
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Tong Zhao
Yozen Liu
Matthew Kolodner
Kyle Montemayor
Elham Ghazizadeh
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Serim Park
Peicheng Yu
Jun Yu
Shubham Vij
Neil Shah
GNN
392
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Fast and Accurate Blind Flexible DockingInternational Conference on Learning Representations (ICLR), 2025
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Ran Bi
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Tao Qin
Bo Han
389
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Towards Invariance to Node Identifiers in Graph Neural Networks
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Carola-Bibiane Schönlieb
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Amir Globerson
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Ji Wu
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G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
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Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
248
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G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
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Guibin Zhang
Miao Yu
Guancheng Wan
Fanci Meng
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LLMAG
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Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
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Rossella Arcucci
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