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A Comprehensive Survey on Graph Neural Networks

A Comprehensive Survey on Graph Neural Networks

3 January 2019
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
    FaML
    GNN
    AI4TS
    AI4CE
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Papers citing "A Comprehensive Survey on Graph Neural Networks"

50 / 2,806 papers shown
Title
Towards Graph Foundation Models: A Transferability Perspective
Y. Wang
Wenqi Fan
Suhang Wang
Yao Ma
36
0
0
13 Mar 2025
STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model
Jin Wenzhe
Tang Haina
Zhang Xudong
DiffM
38
0
0
11 Mar 2025
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
Merve Cigdem Ipek
Sevil Sen
53
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
GAN
FAtt
AI4CE
58
0
0
08 Mar 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar
Nathan Griffiths
T. Popham
A. Bhalerao
AI4TS
LRM
62
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
F. Pan
Vahid Zolfaghari
Alois C. Knoll
59
0
0
06 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
29
0
0
05 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
Shujie Li
Yuxia Wu
Chuan Shi
Yuan Fang
34
0
0
05 Mar 2025
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
Attila Lischka
Simon Rauch
Oliver Stritzel
GNN
53
0
0
05 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Shimin Di
Haoyang Li
Xun Jian
Y. Wang
Lei Chen
CLL
44
0
0
03 Mar 2025
Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
38
0
0
03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature
Asela Hevapathige
Ahad N. Zehmakan
Qing Wang
57
0
0
03 Mar 2025
GRAIN: Exact Graph Reconstruction from Gradients
Maria Drencheva
Ivo Petrov
Maximilian Baader
Dimitar I. Dimitrov
Martin Vechev
FedML
41
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
40
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
57
0
0
28 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
38
0
0
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
59
0
0
27 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
63
0
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
ALM
ELM
93
0
0
26 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
50
0
0
26 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
41
0
0
25 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
42
0
0
25 Feb 2025
Complex Networks for Pattern-Based Data Classification
Josimar Chire
Khalid Mahmood
Zhao Liang
27
0
0
25 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
55
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
58
8
0
24 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
57
0
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-dong Jin
65
1
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
38
0
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
86
1
0
21 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
31
0
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
48
1
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
41
0
0
19 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
29
0
0
15 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
60
0
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
68
0
0
12 Feb 2025
GCoT: Chain-of-Thought Prompt Learning for Graphs
GCoT: Chain-of-Thought Prompt Learning for Graphs
Xingtong Yu
Chang Zhou
Zhongwei Kuai
Xinming Zhang
Yuan Fang
LRM
48
2
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
70
2
0
11 Feb 2025
Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond
Dai Shi
Kuan Yan
Lequan Lin
Yue Zeng
Ting Zhang
D. Matsypura
Mark C. Gillies
Ling Zhu
Junbin Gao
39
1
0
10 Feb 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
35
0
0
10 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Ding Hu
Pengxiang Hua
Zhen Huang
70
0
0
09 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
86
0
0
07 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
69
0
0
03 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSL
BDL
44
0
0
02 Feb 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
56
0
0
31 Jan 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
Shuaiqun Pan
Yash J. Patel
Aneta Neumann
Frank Neumann
Thomas Bäck
Hao Wang
36
0
0
30 Jan 2025
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Keqi Han
Yao Su
Lifang He
Liang Zhan
Sergey Plis
Vince D. Calhoun
Carl Yang
AI4CE
39
1
0
28 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
36
2
0
28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Ying Song
Balaji Palanisamy
71
0
0
28 Jan 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
54
2
0
28 Jan 2025
Fairness Amidst Non-IID Graph Data: A Literature Review
Fairness Amidst Non-IID Graph Data: A Literature Review
Wenbin Zhang
Shimei Pan
Shuigeng Zhou
T. Walsh
FaML
OOD
49
12
0
28 Jan 2025
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