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

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

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
Xiao Luo
Philip S. Yu
Ming Zhang
    AI4CE
ArXivPDFHTML

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

39 / 39 papers shown
Title
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
28
0
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
35
6
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 Triad
Luyao Tang
Yuxuan Yuan
C. L. P. Chen
Zeyu Zhang
Yue Huang
Kun Zhang
48
0
0
24 Mar 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
28
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
75
0
0
10 Jan 2025
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
61
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
59
0
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 R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Degree Distribution based Spiking Graph Networks for Domain Adaptation
Degree Distribution based Spiking Graph Networks for Domain Adaptation
Yingxu Wang
Siwei Liu
Siwei Liu
Shangsong Liang
15
3
0
09 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
11
0
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
13
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
18
0
0
01 Sep 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
25
17
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 Networks
Yushun Dong
Binchi Zhang
Zhenyu Lei
Na Zou
Jundong Li
MU
59
5
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
29
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
24
6
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
19
3
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
32
12
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
36
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
24
21
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
25
4
0
27 Apr 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Mu Wang
24
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
21
4
0
02 Apr 2024
Towards out-of-distribution generalizable predictions of chemical
  kinetics properties
Towards out-of-distribution generalizable predictions of chemical kinetics properties
Zihao W. Wang
Yongqiang Chen
Yang Duan
Weijiang Li
Bo Han
James Cheng
Hanghang Tong
OOD
23
6
0
04 Oct 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive
  Graph Classification
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin
Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
16
41
0
08 Jun 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Junchi Yu
Jian Liang
R. He
29
27
0
27 Mar 2023
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
84
59
0
07 Oct 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
61
193
0
31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
70
37
0
30 May 2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph
  Classification
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Wei Ju
Junwei Yang
Meng Qu
Weiping Song
Jianhao Shen
Ming Zhang
15
42
0
21 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
34
98
0
16 May 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
87
170
0
30 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of
  Graph Convolutional Networks
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao
Weizhao Jin
Srivatsan Ravi
Carlee Joe-Wong
GNN
FedML
43
17
0
28 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Lu Zhang
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
52
73
0
24 Jan 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
24
44
0
18 Sep 2021
Membership Inference Attack on Graph Neural Networks
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
23
96
0
17 Jan 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
102
100
0
24 Oct 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
47
47
0
24 Oct 2020
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
53
164
0
05 May 2020
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