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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
A Dynamical Systems-Inspired Pruning Strategy for Addressing
  Oversmoothing in Graph Neural Networks
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
Biswadeep Chakraborty
H. Kumar
Saibal Mukhopadhyay
315
2
0
10 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking
  from A Spectral Perspective
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral PerspectiveInternational Conference on Learning Representations (ICLR), 2024
Yushun Dong
Patrick Soga
Yinhan He
Song Wang
Jundong Li
296
2
0
10 Dec 2024
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Wen Liu
Ziqi Zhang
Xiaochen Li
Jiacheng Hu
Yuanshuai Luo
Junliang Du
250
9
0
04 Dec 2024
Structure-Guided Input Graph for GNNs facing Heterophily
Structure-Guided Input Graph for GNNs facing HeterophilyAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Victor M. Tenorio
Madeline Navarro
Samuel Rey
Santiago Segarra
Antonio G. Marques
GNN
308
1
0
02 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
Jiaheng Liu
Ziáng Wang
MoE
1.3K
0
0
30 Nov 2024
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification
Junbo Jacob Lian
Haoran Chen
Kaichen Ouyang
Yujun Zhang
Rui Zhong
Huiling Chen
174
0
0
29 Nov 2024
MONOPOLY: Learning to Price Public Facilities for Revaluing Private
  Properties with Large-Scale Urban Data
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban DataInternational Conference on Information and Knowledge Management (CIKM), 2019
M. Fan
Jizhou Huang
An Zhuo
Ying Li
P. Li
Haifeng Wang
342
3
0
27 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search
Knowledge-aware Evolutionary Graph Neural Architecture SearchKnowledge-Based Systems (KBS), 2024
Chao Wang
Jiaxuan Zhao
Lingling Li
Licheng Jiao
Fang Liu
Xu Liu
Steve Yang
386
8
0
26 Nov 2024
GraphSubDetector: Time Series Subsequence Anomaly Detection via
  Density-Aware Adaptive Graph Neural Network
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
Weiqi Chen
Zhiqiang Zhou
Qingsong Wen
Lin Sun
AI4TS
326
0
0
26 Nov 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
710
5
0
23 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional
  Networks
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks
Wenqiang Xu
Wenrui Dai
Duoduo Xue
Ziyang Zheng
Chenglin Li
Junni Zou
Hongkai Xiong
3DPC
305
1
0
21 Nov 2024
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
LightLLM: A Versatile Large Language Model for Predictive Light SensingACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024
J. Hu
Hong Jia
Mahbub Hassan
Lina Yao
Brano Kusy
Wen Hu
269
6
0
20 Nov 2024
Graph as a feature: improving node classification with non-neural
  graph-aware logistic regression
Graph as a feature: improving node classification with non-neural graph-aware logistic regression
Simon Delarue
Thomas Bonald
Tiphaine Viard
279
1
0
19 Nov 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino
Andrea Vaiuso
A. Ronch
Marcello Righi
AI4CE
250
0
0
18 Nov 2024
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
Hongjun Wang
Jiyuan Chen
Lingyu Zhang
Renhe Jiang
Xuan Song
AI4TS
349
1
0
18 Nov 2024
Partitioning Message Passing for Graph Fraud Detection
Partitioning Message Passing for Graph Fraud DetectionInternational Conference on Learning Representations (ICLR), 2024
Wei Zhuo
Zemin Liu
Bryan Hooi
Bingsheng He
Guang Tan
Rizal Fathony
Jia Chen
398
37
0
16 Nov 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency PerspectiveKnowledge Discovery and Data Mining (KDD), 2024
Zhangchi Zhu
Wei Zhang
344
1
0
16 Nov 2024
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
Shravan Venkatraman
Jaskaran Singh Walia
J. Raheja
ViT
516
5
0
14 Nov 2024
Accelerating Quasi-Static Time Series Simulations with Foundation Models
Accelerating Quasi-Static Time Series Simulations with Foundation Models
Alban Puech
François Mirallès
Jonas Weiss
Vincent Mai
Alexandre Blondin Massé
M. D. Montigny
Thomas Brunschwiler
Hendrik F. Hamann
223
0
0
13 Nov 2024
A survey on Graph Deep Representation Learning for Facial Expression
  Recognition
A survey on Graph Deep Representation Learning for Facial Expression RecognitionInternational Conference on Content-Based Multimedia Indexing (CBMI), 2024
Théo Gueuret
Akrem Sellami
Chaabane Djeraba
176
1
0
13 Nov 2024
Federated Graph Learning with Graphless Clients
Federated Graph Learning with Graphless Clients
Xingbo Fu
Song Wang
Yushun Dong
Binchi Zhang
Chen Chen
Jundong Li
FedML
175
3
0
13 Nov 2024
Spatially Regularized Graph Attention Autoencoder Framework for
  Detecting Rainfall Extremes
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes
Mihir Agarwal
Progyan Das
Udit Bhatia
203
1
0
12 Nov 2024
No-Reference Point Cloud Quality Assessment via Graph Convolutional
  Network
No-Reference Point Cloud Quality Assessment via Graph Convolutional NetworkIEEE transactions on multimedia (IEEE TMM), 2024
Wu Chen
Qiuping Jiang
Wei Zhou
F. Shao
Guoquan Zheng
Weisi Lin
3DPC
218
9
0
12 Nov 2024
Variational Graph Contrastive Learning
Variational Graph Contrastive Learning
Shifeng Xie
Jhony H. Giraldo
243
1
0
11 Nov 2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph
  Representation Learning
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation LearningIEEE Internet of Things Journal (IEEE IoT J.), 2024
Ao Liu
Jing Chen
Ruiying Du
Yanwei Yue
Yebo Feng
Teng Li
Jianfeng Ma
339
3
0
11 Nov 2024
Web Scale Graph Mining for Cyber Threat Intelligence
Web Scale Graph Mining for Cyber Threat Intelligence
Scott Freitas
Amir Gharib
219
2
0
09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary
GFT: Graph Foundation Model with Transferable Tree VocabularyNeural Information Processing Systems (NeurIPS), 2024
Zehong Wang
Zheyuan Zhang
Nitesh Chawla
Chuxu Zhang
Yanfang Ye
284
44
0
09 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information
  Bottleneck
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
Shuangjie Li
Jiangqing Song
Baoming Zhang
Gaoli Ruan
Junyuan Xie
Chongjun Wang
265
1
0
07 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachNeural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
214
2
0
06 Nov 2024
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over SpainArtificial Intelligence for the Earth Systems (AI4ES), 2024
Jose González-Abad
José Manuel Gutiérrez
AI4Cl
270
0
0
06 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability
  for coactivation maps of spatial and cortical features
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features
Zhuoshuo Li
Jiong Zhang
Youbing Zeng
Jiaying Lin
Dan Zhang
Jianjia Zhang
Duan Xu
H. Kim
Bingguang Liu
Mengting Liu
186
2
0
05 Nov 2024
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with
  Graph Neural Networks
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural NetworksComputers and Chemical Engineering (Comput. Chem. Eng.), 2024
Christoforos Brozos
Jan G. Rittig
Elie Akanny
Sandip Bhattacharya
Christina Kohlmann
Alexander Mitsos
279
6
0
04 Nov 2024
A General Recipe for Contractive Graph Neural Networks -- Technical
  Report
A General Recipe for Contractive Graph Neural Networks -- Technical Report
Maya Bechler-Speicher
Moshe Eliasof
114
0
0
04 Nov 2024
Polar R-CNN: End-to-End Lane Detection with Fewer Anchors
Polar R-CNN: End-to-End Lane Detection with Fewer Anchors
Shengqi Wang
Junmin Liu
Xiangyong Cao
Zengjie Song
Kai Sun
368
5
0
03 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Md Abrar Jahin
Md. Akmol Masud
M. F. Mridha
Nilanjan Dey
Zeyar Aung
632
0
0
03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
476
1
0
03 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time
  Series: Architecture and Application to ICU Patient Data
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient DataIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
232
4
0
01 Nov 2024
An unified approach to link prediction in collaboration networks
An unified approach to link prediction in collaboration networks
Juan Sosa
Diego Martínez
Nicolás Guerrero
176
2
0
01 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng
Yao Zou
Sheng Xiang
Changjun Jiang
AI4TS
300
49
0
01 Nov 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis
Higher-order Cross-structural Embedding Model for Time Series Analysis
Guancen Lin
Cong Shen
Aijing Lin
AI4TS
187
1
0
30 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected
  Distributed Graphs
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed GraphsIEEE International Conference on Cluster Computing (Cluster), 2024
Aishwarya Sarkar
Sayan Ghosh
Nathan Tallent
Ali Jannesari
GNN
251
2
0
30 Oct 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors
  for Extra-Long-Term Traffic Forecasting
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Zhiwei Zhang
Shaojun E
Fandong Meng
Jie Zhou
Wenjuan Han
246
3
0
30 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
364
0
0
29 Oct 2024
Graph Based Traffic Analysis and Delay Prediction
Graph Based Traffic Analysis and Delay Prediction
Gabriele Borg
Charlie Abela
GNN
169
1
0
28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
594
6
0
28 Oct 2024
Disentangled and Self-Explainable Node Representation Learning
Disentangled and Self-Explainable Node Representation Learning
Simone Piaggesi
Andre' Panisson
Megha Khosla
385
0
0
28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World ModellingInternational Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
996
1
0
28 Oct 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for
  Graph Anomaly Detection
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Sungsu Lim
179
0
0
27 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node
  Classification
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xiaoxue Han
Huzefa Rangwala
Yue Ning
BDLOODCML
207
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27 Oct 2024
Neural Fields in Robotics: A Survey
Neural Fields in Robotics: A Survey
Muhammad Zubair Irshad
Mauro Comi
Yen-Chen Lin
Nick Heppert
Abhinav Valada
Rares Andrei Ambrus
Z. Kira
Jonathan Tremblay
AI4CE
473
20
0
26 Oct 2024
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