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A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
v1v2 (latest)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
7 March 2024
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
Hourun Li
Yiyang Gu
Yifang Qin
Nan Yin
Senzhang Wang
Xinwang Liu
Philip S. Yu
Ming Zhang
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges"

33 / 33 papers shown
Learning Fair Graph Representations with Multi-view Information Bottleneck
Learning Fair Graph Representations with Multi-view Information Bottleneck
Chuxun Liu
Debo Cheng
Qingfeng Chen
Jiangzhang Gan
Jiuyong Li
Lin Liu
167
0
0
29 Oct 2025
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
Yingxu Wang
Kunyu Zhang
Jiaxin Huang
Nan Yin
Siwei Liu
Eran Segal
222
8
0
19 Oct 2025
Multi-View Graph Feature Propagation for Privacy Preservation and Feature Sparsity
Multi-View Graph Feature Propagation for Privacy Preservation and Feature Sparsity
Etzion Harari
Moshe Unger
134
0
0
13 Oct 2025
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
Zhaoyan Wang
Zheng Gao
Arogya Kharel
In-Young Ko
151
0
0
02 Oct 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Lincan Li
Bolin Shen
Chenxi Zhao
Yuxiang Sun
Kaixiang Zhao
Shirui Pan
Yushun Dong
287
1
0
27 Aug 2025
Geometry-Aware Spiking Graph Neural Network
Geometry-Aware Spiking Graph Neural Network
Bowen Zhang
Genan Dai
Hu Huang
Long Lan
169
0
0
09 Aug 2025
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Yaowen Hu
Wenxuan Tu
Yue Liu
Miaomiao Li
Wenpeng Lu
Zhigang Luo
Xinwang Liu
Ping Chen
288
0
0
12 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu
Wenxuan Tu
Yue Liu
Xinhang Wan
Junyi Yan
Taichun Zhou
Xinwang Liu
336
1
0
09 Jul 2025
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
Xiao Lin
Zhichen Zeng
Tianxin Wei
Zhining Liu
Yuzhong Chen
Hanghang Tong
AI4TS
280
3
0
05 Apr 2025
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks
Yiwei Zhang
244
18
0
25 Mar 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation TriadComputer Vision and Pattern Recognition (CVPR), 2025
Luyao Tang
Yuxuan Yuan
Chen Chen
Zeyu Zhang
Yue Huang
Kun Zhang
460
5
0
24 Mar 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization AlgorithmsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Shuaiqun Pan
Yash J. Patel
Aneta Neumann
Frank Neumann
Thomas Bäck
Hao Wang
521
0
0
30 Jan 2025
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution
Jiaqi Xiong
Nan Yin
Yifan Sun
Haoyang Li
Yingxu Wang
Duo Ai
Fang Pan
Shiyang Liang
440
0
0
10 Jan 2025
BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks
BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks
Whitney Sloneker
Shalin Patel
Michael Wang
Lorin Crawford
Ritambhara Singh
273
0
0
16 Dec 2024
Joint Combinatorial Node Selection and Resource Allocations in the
  Lightning Network using Attention-based Reinforcement Learning
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning
Mahdi Salahshour
Amirahmad Shafiee
Mojtaba Tefagh
407
0
0
26 Nov 2024
Enhancing Object Detection Accuracy in Autonomous Vehicles Using
  Synthetic Data
Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data
Sergei Voronin
Abubakar Siddique
Muhammad Iqbal
202
1
0
23 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
531
14
0
25 Oct 2024
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation
  Extraction in Long Sentences
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences
Xin Wang
Xinyi Bai
221
1
0
15 Sep 2024
Graffin: Stand for Tails in Imbalanced Node Classification
Graffin: Stand for Tails in Imbalanced Node Classification
Xiaorui Qi
Yanlong Wen
Xiaojie Yuan
214
0
0
09 Sep 2024
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing
  with Reduced Entity Violations
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violations
Xinyi Bai
222
0
0
01 Sep 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
SA-GDA: Spectral Augmentation for Graph Domain AdaptationACM Multimedia (ACM MM), 2023
Jinhui Pang
Zixuan Wang
Jiliang Tang
Mingyan Xiao
Nan Yin
OOD
312
34
0
17 Aug 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural
  Networks
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024
Yushun Dong
Binchi Zhang
Zhenyu Lei
Na Zou
Jundong Li
MU
319
24
0
28 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability
  Learning
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Bowen Zhang
Zhichao Huang
Genan Dai
Guangning Xu
Xiaomao Fan
Hu Huang
290
0
0
02 Jul 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang
Yixin Liu
Xu Shen
Chenyu Li
Kaize Ding
Rui Miao
Ying Wang
Shirui Pan
Xin Wang
457
19
0
21 Jun 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
318
12
0
22 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
406
56
0
20 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
800
1
0
20 May 2024
Revisiting Multimodal Emotion Recognition in Conversation from the
  Perspective of Graph Spectrum
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Tao Meng
Fuchen Zhang
Yuntao Shou
Wei Ai
Nan Yin
Keqin Li
335
62
0
27 Apr 2024
Revisiting Multi-modal Emotion Learning with Broad State Space Models
  and Probability-guidance Fusion
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion
Yuntao Shou
Tao Meng
Fuchen Zhang
Nan Yin
Keqin Li
Mamba
307
35
0
27 Apr 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Mu Wang
261
0
0
23 Apr 2024
Continuous Spiking Graph Neural Networks
Continuous Spiking Graph Neural Networks
Nan Yin
Mengzhu Wang
Li Shen
Hitesh Laxmichand Patel
Baopu Li
Bin Gu
Huan Xiong
GNN
311
13
0
02 Apr 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
351
16
0
01 Feb 2024
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph ClassificationInternational Conference on Machine Learning (ICML), 2023
Nan Yin
Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
604
61
0
08 Jun 2023
1
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