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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 / 2,861 papers shown
Title
Graph neural networks extrapolate out-of-distribution for shortest paths
Graph neural networks extrapolate out-of-distribution for shortest paths
Robert Nerem
Samantha Chen
Sanjoy Dasgupta
Yusu Wang
102
1
0
24 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
112
0
0
22 Mar 2025
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
Xiang He
Judah Goldfeder
Nadav Timor
Allen Roush
Ravid Shwartz-Ziv
HAI
108
0
0
21 Mar 2025
Learning to quantify graph nodes
Learning to quantify graph nodes
Alessio Micheli
Alejandro Moreo
Marco Podda
Fabrizio Sebastiani
William Simoni
Domenico Tortorella
150
0
0
19 Mar 2025
Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction
Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction
Andrew Roxburgh
Floriana Grasso
Terry R. Payne
GNN
98
0
0
18 Mar 2025
Continuous Simplicial Neural Networks
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
121
1
0
17 Mar 2025
Learning Privacy from Visual Entities
Learning Privacy from Visual Entities
Alessio Xompero
Andrea Cavallaro
SSLGNN
114
0
0
16 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
158
0
0
15 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
89
0
0
14 Mar 2025
GNNs as Predictors of Agentic Workflow Performances
Yanzhe Zhang
Yuchen Hou
Bohan Tang
Shuo Chen
Muhan Zhang
Xiaowen Dong
Tian Jin
LLMAGAI4CE
120
2
0
14 Mar 2025
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu
Jinfan Liu
Kuangxu Chen
Ye Chen
Zhangli Hu
Bingbing Ni
99
0
0
13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective
Yansen Wang
Wenqi Fan
Suhang Wang
Yao Ma
88
1
0
13 Mar 2025
STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
Jin Wenzhe
Tang Haina
Zhang Xudong
DiffM
76
0
0
11 Mar 2025
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
Merve Cigdem Ipek
Sevil Sen
158
0
0
10 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue
Guangzhi Qu
Lige Gan
GANFAttAI4CE
108
0
0
08 Mar 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar
Nathan Griffiths
T. Popham
A. Bhalerao
AI4TSLRM
106
0
0
06 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
122
0
0
06 Mar 2025
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
Attila Lischka
Simon Rauch
Oliver Stritzel
GNN
75
0
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
210
0
0
05 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
88
0
0
05 Mar 2025
GRAIN: Exact Graph Reconstruction from Gradients
Maria Drencheva
Ivo Petrov
Maximilian Baader
Dimitar I. Dimitrov
Martin Vechev
FedML
125
0
0
03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature
Asela Hevapathige
Ahad N. Zehmakan
Qing Wang
103
0
0
03 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Shimin Di
Haoyang Li
Xun Jian
Yijiao Wang
Lei Chen
CLL
101
0
0
03 Mar 2025
Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
123
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
93
0
0
01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
129
1
0
28 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
116
0
0
27 Feb 2025
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
86
0
0
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 systems
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
95
0
0
26 Feb 2025
SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
Fanglei Xue
Meihan Zhang
Shuqi Li
Xinyu Gao
James A. Wohlschlegel
Wenbing Huang
Yi Yang
Weixian Deng
105
1
0
26 Feb 2025
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
Alireza Daghighfarsoodeh
Chung-Yu Wang
Hamed Taherkhani
Melika Sepidband
Mohammad Abdollahi
Hadi Hemmati
Hung Viet Pham
ALMELM
137
0
0
26 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
137
0
0
25 Feb 2025
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
131
0
0
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
GNN
80
0
0
25 Feb 2025
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
O. Ahmad
Anwar Said
Mudassir Shabbir
X. Koutsoukos
W. Abbas
111
0
0
24 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
210
9
0
24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities
Scalable Graph Condensation with Evolving Capabilities
Shengbo Gong
Mohammad Hashemi
Juntong Ni
Carl Yang
Wei Jin
140
3
0
24 Feb 2025
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
Ali Vefghi
Zahed Rahmati
Mohammad Akbari
OOD
58
0
0
24 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
130
1
0
22 Feb 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Mayar Lotfy
Anna Alperovich
Tommaso Giannantonio
Bjorn Barz
Xiaohan Zhang
...
Nassir Navab
F. Boehm
Carolin Schwamborn
Thomas K. Hoffmann
PatrickJ. Schuler
296
1
0
21 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
GiGL: Large-Scale Graph Neural Networks at Snapchat
Tong Zhao
Yozen Liu
Matthew Kolodner
Kyle Montemayor
Elham Ghazizadeh
...
Serim Park
Peicheng Yu
Jun Yu
Shubham Vij
Neil Shah
GNN
121
1
0
20 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks
Towards Invariance to Node Identifiers in Graph Neural Networks
Maya Bechler-Speicher
Moshe Eliasof
Carola-Bibiane Schönlieb
Ran Gilad-Bachrach
Amir Globerson
189
4
0
20 Feb 2025
Fast and Accurate Blind Flexible Docking
Fast and Accurate Blind Flexible Docking
Zizhuo Zhang
Lijun Wu
Kaiyuan Gao
Jiangchao Yao
Tao Qin
Bo Han
96
0
0
20 Feb 2025
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
Xinxin You
Xien Liu
Xue Yang
Ziyi Wang
Ji Wu
99
0
0
19 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
126
8
0
18 Feb 2025
User Profile with Large Language Models: Construction, Updating, and Benchmarking
User Profile with Large Language Models: Construction, Updating, and Benchmarking
Nusrat Jahan Prottasha
Md. Kowsher
Hafijur Raman
Israt Jahan Anny
Prakash Bhat
Ivan Garibay
O. Garibay
84
0
0
15 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
237
0
0
13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
167
3
0
13 Feb 2025
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
Ruizhan Xue
Huimin Deng
Fang He
Maojun Wang
Zeyu Zhang
120
1
0
12 Feb 2025
Deep Semantic Graph Learning via LLM based Node Enhancement
Deep Semantic Graph Learning via LLM based Node Enhancement
Chuanqi Shi
Yiyi Tao
Hang Zhang
Lun Wang
Shaoshuai Du
Yixian Shen
Yanxin Shen
143
4
0
11 Feb 2025
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