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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
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
285
0
0
20 Sep 2024
Physics aware machine learning for micromagnetic energy minimization:
  recent algorithmic developments
Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments
Sebastian Schaffer
T. Schrefl
Harald Oezelt
Norbert J Mauser
Lukas Exl
AI4CE
73
0
0
19 Sep 2024
PromSec: Prompt Optimization for Secure Generation of Functional Source
  Code with Large Language Models (LLMs)
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
Mahmoud Nazzal
Issa Khalil
Abdallah Khreishah
NhatHai Phan
AAML
62
7
0
19 Sep 2024
Shape-informed surrogate models based on signed distance function domain
  encoding
Shape-informed surrogate models based on signed distance function domain encoding
L. Zhang
S. Pagani
Jun Zhang
Francesco Regazzoni
AI4CE
98
1
0
19 Sep 2024
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with
  Efficient Feature Extraction
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction
Caihong Wang
Du Xu
Zonghang Li
76
2
0
18 Sep 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
166
1
0
16 Sep 2024
Predicting building types and functions at transnational scale
Predicting building types and functions at transnational scale
Jonas Fill
Michael Eichelbeck
Michael Ebner
66
0
0
15 Sep 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal
Kevin Miller
Ekaterina Merkurjev
131
1
0
14 Sep 2024
Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for
  Recommender Tasks
Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks
Florian Grötschla
Luca Strassle
Luca A. Lanzendörfer
Roger Wattenhofer
79
0
0
13 Sep 2024
Optimizing Ingredient Substitution Using Large Language Models to
  Enhance Phytochemical Content in Recipes
Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes
Luis Rita
Josh Southern
I. Laponogov
Kyle Higgins
Kirill Veselkov
64
2
0
13 Sep 2024
Contactless Fingerprint Recognition Using 3D Graph Matching
Contactless Fingerprint Recognition Using 3D Graph Matching
Zhe Cui
Yuwei Jia
Siyang Zheng
Fei Su
60
0
0
13 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption
Redesigning graph filter-based GNNs to relax the homophily assumption
Samuel Rey
Madeline Navarro
Victor M. Tenorio
Santiago Segarra
Antonio G. Marques
82
4
0
13 Sep 2024
CliquePH: Higher-Order Information for Graph Neural Networks through
  Persistent Homology on Clique Graphs
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
Davide Buffelli
Farzin Soleymani
Bastian Rieck
GNN
71
1
0
12 Sep 2024
Network Anomaly Traffic Detection via Multi-view Feature Fusion
Network Anomaly Traffic Detection via Multi-view Feature Fusion
Song Hao
Wentao Fu
Xuanze Chen
Chengxiang Jin
Jiajun Zhou
Shanqing Yu
Qi Xuan
70
2
0
12 Sep 2024
Enhancing Cross-Market Recommendation System with Graph Isomorphism
  Networks: A Novel Approach to Personalized User Experience
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sumeyye Ozturk
Ahmed Burak Ercan
Resul Tugay
Şule Gündüz Öğüdücü
48
1
0
12 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
110
0
0
09 Sep 2024
An encoding of argumentation problems using quadratic unconstrained
  binary optimization
An encoding of argumentation problems using quadratic unconstrained binary optimization
Marco Baioletti
Francesco Santini
33
1
0
09 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
210
5
0
09 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical
  Systems
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
77
0
0
07 Sep 2024
Solving Stochastic Orienteering Problems with Chance Constraints Using a
  GNN Powered Monte Carlo Tree Search
Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search
Marcos Abel Zuzuárregui
Stefano Carpin
57
1
0
06 Sep 2024
Task-Oriented Communication for Graph Data: A Graph Information
  Bottleneck Approach
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
Shujing Li
Yanhu Wang
Shuaishuai Guo
Chenyuan Feng
85
4
0
04 Sep 2024
Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh
  Reconstruction
Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction
Yihao Luo
Dario Sesia
Fanwen Wang
Yinzhe Wu
Wenhao Ding
...
Amit Kaural
Jamil Mayet
Jamil Mayet
ChoonHwai Yap
ChoonHwai Yap
90
4
0
03 Sep 2024
A Modern Take on Visual Relationship Reasoning for Grasp Planning
A Modern Take on Visual Relationship Reasoning for Grasp Planning
Paolo Rabino
Tatiana Tommasi
79
1
0
03 Sep 2024
Debiasing Graph Representation Learning based on Information Bottleneck
Debiasing Graph Representation Learning based on Information Bottleneck
Ziyi Zhang
Mingxuan Ouyang
Wanyu Lin
Hao Lan
Lei Yang
FaML
77
0
0
02 Sep 2024
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via
  Hardware-aware Strategy Space Hierarchization
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization
Yangjie Zhou
Honglin Zhu
Qian Qiu
Weihao Cui
Zihan Liu
...
Jintao Meng
Haidong Lan
Jingwen Leng
Wenxi Zhu
Minwen Deng
85
0
0
02 Sep 2024
GSpect: Spectral Filtering for Cross-Scale Graph Classification
GSpect: Spectral Filtering for Cross-Scale Graph Classification
Xinming Zhang
Wenchuan Yang
Jiawei Feng
Bitao Dai
Tianci Bu
Xin Lu
66
2
0
31 Aug 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP
A GREAT Architecture for Edge-Based Graph Problems Like TSP
Attila Lischka
Filip Rydin
Jiaming Wu
M. Chehreghani
Balázs Kulcsár
56
3
0
29 Aug 2024
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic
  Citation Networks
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
Junhao Shen
Mohammad Ausaf Ali Haqqani
Beichen Hu
Cheng Huang
Xihao Xie
Tsengdar Lee
Jia Zhang
49
1
0
27 Aug 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN
  Acceleration
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
Runzhen Xue
Yurui Lai
Dengke Han
Zhimin Tang
Mingyu Yan
Xiaochun Ye
GNN
56
0
0
27 Aug 2024
Evaluating the Predictive Features of Person-Centric Knowledge Graph
  Embeddings: Unfolding Ablation Studies
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
Christos Theodoropoulos
N. Mulligan
Joao H. Bettencourt-Silva
63
0
0
27 Aug 2024
PAGE: Parametric Generative Explainer for Graph Neural Network
PAGE: Parametric Generative Explainer for Graph Neural Network
Yang Qiu
Wei Liu
Jun Wang
Ruixuan Li
BDL
91
0
0
26 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
87
1
0
26 Aug 2024
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
Peng Zhu
Yuante Li
Yifan Hu
Qinyuan Liu
Dawei Cheng
Yuqi Liang
AIFinAI4TS
174
6
0
26 Aug 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs
Exploring the Potential of Large Language Models for Heterophilic Graphs
Yuxia Wu
Shujie Li
Yuan Fang
Chuan Shi
151
3
0
26 Aug 2024
Applying graph neural network to SupplyGraph for supply chain network
Applying graph neural network to SupplyGraph for supply chain network
Kihwan Han
72
2
0
23 Aug 2024
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
Yuxiang Wei
A. Abrol
Reihaneh Hassanzadeh
Mamba
118
3
0
23 Aug 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo
Zhiping Xiao
Yifan Wang
Xiao Luo
Jingyang Yuan
Wei Ju
Langechuan Liu
Ming Zhang
99
8
0
22 Aug 2024
Optimizing Federated Graph Learning with Inherent Structural Knowledge
  and Dual-Densely Connected GNNs
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs
Longwen Wang
Jianchun Liu
Zhi Liu
Jinyang Huang
AI4CEFedML
69
0
0
21 Aug 2024
High Performance Unstructured SpMM Computation Using Tensor Cores
High Performance Unstructured SpMM Computation Using Tensor Cores
Patrik Okanovic
Grzegorz Kwa'sniewski
P. S. Labini
Maciej Besta
Flavio Vella
Torsten Hoefler
123
6
0
21 Aug 2024
Towards Probabilistic Inductive Logic Programming with Neurosymbolic
  Inference and Relaxation
Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation
Fieke Hillerstrom
Gertjan J. Burghouts
NAI
47
1
0
21 Aug 2024
Modeling Reference-dependent Choices with Graph Neural Networks
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang
Guannan Liu
Junjie Wu
Yong Tan
HAI
54
0
0
21 Aug 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
Milan Papež
Martin Rektoris
Václav Šmídl
Tomáš Pevný
TPM
127
0
0
18 Aug 2024
Federated Graph Learning with Structure Proxy Alignment
Federated Graph Learning with Structure Proxy Alignment
Xingbo Fu
Zihan Chen
Binchi Zhang
Chen Chen
Jundong Li
FedML
91
8
0
18 Aug 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
Jinhui Pang
Zixuan Wang
Jiliang Tang
Mingyan Xiao
Nan Yin
OOD
112
22
0
17 Aug 2024
Mitigating Degree Bias in Signed Graph Neural Networks
Mitigating Degree Bias in Signed Graph Neural Networks
Fang He
Jinhai Deng
Ruizhan Xue
Maojun Wang
Zeyu Zhang
74
3
0
16 Aug 2024
Robust Offline Active Learning on Graphs
Robust Offline Active Learning on Graphs
Yuanchen Wu
Yubai Yuan
OffRL
62
0
0
15 Aug 2024
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling
Shuqi He
Jun Zhuang
Ding Wang
Jun Song
AAML
65
0
0
13 Aug 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural
  Networks
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini
Francesco Mauro
Francesca De Falco
A. Sebastianelli
A. Verdone
A. Rosato
Bertrand Le Saux
Massimo Panella
Paolo Gamba
Silvia Liberata Ullo
GNNAI4CE
89
1
0
12 Aug 2024
Body Transformer: Leveraging Robot Embodiment for Policy Learning
Body Transformer: Leveraging Robot Embodiment for Policy Learning
Carmelo Sferrazza
Dun-Ming Huang
Fangchen Liu
Jongmin Lee
Pieter Abbeel
LM&Ro
90
14
0
12 Aug 2024
Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural
  Networks and Volatile Memory
Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural Networks and Volatile Memory
Varun Kohli
Bhavya Kohli
M. Aman
Biplab Sikdar
54
0
0
11 Aug 2024
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