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A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
v1v2 (latest)

A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
26 August 2023
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
    FaML
ArXiv (abs)PDFHTMLGithub (748★)

Papers citing "A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions"

12 / 12 papers shown
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
Chaofan Zhu
Xiaobing Rui
Zhixiao Wang
272
0
0
13 Nov 2025
Normality Calibration in Semi-supervised Graph Anomaly Detection
Normality Calibration in Semi-supervised Graph Anomaly Detection
Guolei Zeng
Hezhe Qiao
Guoguo Ai
Jinsong Guo
Guansong Pang
176
1
0
02 Oct 2025
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
Fanlong Zeng
Wensheng Gan
Philip S. Yu
AI4CE
129
0
0
28 Sep 2025
GK-SMOTE: A Hyperparameter-free Noise-Resilient Gaussian KDE-Based Oversampling Approach
GK-SMOTE: A Hyperparameter-free Noise-Resilient Gaussian KDE-Based Oversampling Approach
Mahabubur Rahman Miraj
Hongyu Huang
Ting Yang
Jinxue Zhao
Nankun Mu
Xinyu Lei
61
2
0
14 Sep 2025
A Survey of Large Language Models for Data Challenges in Graphs
A Survey of Large Language Models for Data Challenges in Graphs
Mengran Li
Pengyu Zhang
Wenbin Xing
Yijia Zheng
Klim Zaporojets
...
Jia Hu
Xiaolei Ma
Zhiyuan Liu
Paul Groth
Marcel Worring
AI4CE
504
0
0
24 May 2025
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and
  Fine-Tuned Language Models
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
Mohamed Basem
Islam Oshallah
Baraa Hikal
Ali Hamdi
Ammar Mohamed
RALM
346
6
0
16 Dec 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
462
44
0
16 Nov 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
Deep Graph Anomaly Detection: A Survey and New PerspectivesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
395
60
0
16 Sep 2024
Imbalanced Graph Classification with Multi-scale Oversampling Graph
  Neural Networks
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
Rongrong Ma
Guansong Pang
Ling-Hao Chen
AI4CE
268
0
0
08 May 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
339
23
0
10 Feb 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance DecompositionNeural Information Processing Systems (NeurIPS), 2023
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
663
24
0
28 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A SurveyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
410
35
0
08 Oct 2023
1
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