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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
Understanding Network Behaviors through Natural Language Question-Answering
Understanding Network Behaviors through Natural Language Question-Answering
Mingzhe Xing
Chang Tian
Jianan Zhang
Lichen Pan
Peipei Liu
Zhaoteng Yan
Yinliang Yue
57
0
0
24 Oct 2025
Pruning and Quantization Impact on Graph Neural Networks
Pruning and Quantization Impact on Graph Neural Networks
Khatoon Khedri
Reza Rawassizadeh
Qifu Wen
M. Hosseinzadeh
GNN
219
0
0
24 Oct 2025
MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction
MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction
Xuan Lin
Aocheng Ding
Tengfei Ma
Hua Liang
Zhe Quan
151
0
0
23 Oct 2025
Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP
Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP
Tongkai Lu
Shuai Ma
Chongyang Tao
155
0
0
23 Oct 2025
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
Zhen Zhang
Bingsheng He
OOD
164
0
0
21 Oct 2025
Image augmentation with invertible networks in interactive satellite image change detection
Image augmentation with invertible networks in interactive satellite image change detection
Hichem Sahbi
194
0
0
21 Oct 2025
Graph4MM: Weaving Multimodal Learning with Structural Information
Graph4MM: Weaving Multimodal Learning with Structural Information
Xuying Ning
Dongqi Fu
Tianxin Wei
Wujiang Xu
Jingrui He
122
4
0
19 Oct 2025
Image Categorization and Search via a GAT Autoencoder and Representative Models
Image Categorization and Search via a GAT Autoencoder and Representative Models
Duygu Sap
Martin Lotz
Connor Mattinson
89
0
0
18 Oct 2025
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
Daohan Su
Yang Zhang
Xunkai Li
Rong-Hua Li
Guoren Wang
118
0
0
18 Oct 2025
Message Passing on the Edge: Towards Scalable and Expressive GNNs
Message Passing on the Edge: Towards Scalable and Expressive GNNs
Pablo Barceló
Fabian Jogl
Alexander Kozachinskiy
Matthias Lanzinger
Stefan Neumann
Cristóbal Rojas
119
0
0
15 Oct 2025
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
Jahidul Arafat
Sanjaya Poudel
170
1
0
15 Oct 2025
Causal Inspired Multi Modal Recommendation
Causal Inspired Multi Modal Recommendation
Jie Yang
Chenyang Gu
Zixuan Liu
CML
103
0
0
14 Oct 2025
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
Yonghao Liu
Y. Wang
Chunli Guo
Wei Pang
Ximing Li
Fausto Giunchiglia
Xiaoyue Feng
Renchu Guan
239
0
0
14 Oct 2025
Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
Bowen Fan
Zhilin Guo
Xunkai Li
Yihan Zhou
Bing Zhou
Zhenjun Li
Rong-Hua Li
Guoren Wang
AAML
179
0
0
14 Oct 2025
Learning the Structure of Connection Graphs
Learning the Structure of Connection Graphs
Leonardo Di Nino
Gabriele DÁcunto
Sergio Barbarossa
Paolo Di Lorenzo
68
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0
13 Oct 2025
Event-Aware Prompt Learning for Dynamic Graphs
Event-Aware Prompt Learning for Dynamic Graphs
Xingtong Yu
Ruijuan Liang
Xinming Zhang
Yuan Fang
89
0
0
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An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
Ba-Quang Nguyen
MedIm
87
0
0
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Representing Data in Robotic Tactile Perception -- A Review
Representing Data in Robotic Tactile Perception -- A Review
A. Albini
Mohsen Kaboli
G. Cannata
P. Maiolino
119
2
0
12 Oct 2025
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
Tai Le-Gia
Ahn Jaehyun
207
0
0
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A Graph-Attentive LSTM Model for Malicious URL Detection
A Graph-Attentive LSTM Model for Malicious URL Detection
Md. Ifthekhar Hossain
Kazi Abdullah Al Arafat
Bryce Shepard
Kayd Craig
Imtiaz Parvez
52
0
0
12 Oct 2025
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
Yiyang Li
Zehong Wang
Zhengqing Yuan
Zheyuan Zhang
K. Murugesan
Chuxu Zhang
Yanfang Ye
100
0
0
11 Oct 2025
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
Vu Duc Anh Nguyen
Ziyue Li
81
0
0
10 Oct 2025
Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
Jose Tupayachi
M. C. Camur
Kevin Heaslip
Xueping Li
AI4TS
169
0
0
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TinyGraphEstimator: Adapting Lightweight Language Models for Graph Structure Inference
TinyGraphEstimator: Adapting Lightweight Language Models for Graph Structure Inference
Michal Podstawski
143
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0
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Estimating Fair Graphs from Graph-Stationary Data
Estimating Fair Graphs from Graph-Stationary Data
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Andrei Buciulea
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A. Marques
Santiago Segarra
189
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Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
Marien Renaud
Julien Hermant
Deliang Wei
Yu Sun
117
0
0
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HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
Tan Wang
Yun Wei Dong
Tao Zhang
AI4TS
269
0
0
08 Oct 2025
Adaptive Stain Normalization for Cross-Domain Medical Histology
Adaptive Stain Normalization for Cross-Domain Medical HistologyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Tianyue Xu
Yanlin Wu
Abhai K. Tripathi
Matthew M. Ippolito
Benjamin D. Haeffele
OODMedIm
131
0
0
08 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning
Label-frugal satellite image change detection with generative virtual exemplar learning
Hichem Sahbi
135
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0
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Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
Félix Vandervorst
Bruno Deprez
Wouter Verbeke
Tim Verdonck
AI4CE
102
0
0
07 Oct 2025
Efficient Learning-based Graph Simulation for Temporal Graphs
Efficient Learning-based Graph Simulation for Temporal GraphsIEEE International Conference on Data Engineering (ICDE), 2025
Sheng Xiang
Chenhao Xu
Dawei Cheng
Xiaoyang Wang
Ying Zhang
126
1
0
07 Oct 2025
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Arindam Chowdhury
Massimiliano Lupo Pasini
115
0
0
07 Oct 2025
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
Zijun Jia
Shuang Liang
Jinsong Yu
123
0
0
07 Oct 2025
Unsupervised Active Learning via Natural Feature Progressive Framework
Unsupervised Active Learning via Natural Feature Progressive Framework
Yuxi Liu
Catherine Lalman
Yimin Yang
150
0
0
06 Oct 2025
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
Ni Zhang
Zhiguang Cao
127
0
0
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Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Farid Bozorgnia
Vyacheslav Kungurtsev
Shirali Kadyrov
Mohsen Yousefnezhad
116
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0
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VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
Lakshadeep Naik
Adam Fischer
Daniel Duberg
Danica Kragic
101
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0
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Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
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UQCV
213
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Adaptive Node Feature Selection For Graph Neural Networks
Adaptive Node Feature Selection For Graph Neural Networks
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Santiago Segarra
128
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Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
Yongchao Li
Jun Chen
Z. Li
Chao Gao
Yang Li
C. Zhang
Changyin Dong
167
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0
03 Oct 2025
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
Minseok Jeon
Seunghyun Park
100
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0
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Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
Xiaobao Wang
Ruoxiao Sun
Yujun Zhang
Bingdao Feng
Dongxiao He
L. Wang
Di Jin
AAML
145
1
0
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Neighbor-aware informal settlement mapping with graph convolutional networks
Neighbor-aware informal settlement mapping with graph convolutional networks
Thomas Hallopeau
Joris Guérin
Laurent Demagistri
Christovam Barcellos
Nadine Dessay
GNN
202
0
0
30 Sep 2025
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
Linhao Luo
Zicheng Zhao
Junnan Liu
Zhangchi Qiu
Junnan Dong
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Thuy-Trang Vu
Gholamreza Haffari
Dinh Q. Phung
Alan Wee-Chung Liew
Shirui Pan
LRM
104
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0
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Single-Core Superscalar Optimization of Clifford Neural Layers
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X. Angelo Huang
Ruben Ciranni
Giovanni Spadaccini
Carla J. López Zurita
129
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0
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Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Dong Hyun Jeon
Lijing Zhu
Haifang Li
Pengze Li
Jingna Feng
Tiehang Duan
Houbing Herbert Song
Cui Tao
Shuteng Niu
AAML
118
0
0
29 Sep 2025
Pure Node Selection for Imbalanced Graph Node Classification
Pure Node Selection for Imbalanced Graph Node Classification
Fanlong Zeng
Wensheng Gan
Jiayang Wu
Philip S. Yu
94
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0
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Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Zehao Niu
M. Anitescu
Jie Chen
GNN
141
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0
26 Sep 2025
SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network
Zhipu Cui
Johannes Lutzeyer
GNN
139
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0
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Enhancing Molecular Property Prediction with Knowledge from Large Language Models
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Peng Zhou
Lai Hou Tim
Zhixiang Cheng
Kun Xie
Chaoyi Li
Wei Liu
Xiangxiang Zeng
148
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0
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