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GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

16 June 2023
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
ArXivPDFHTML

Papers citing "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification"

11 / 11 papers shown
Title
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
D. Wang
Hongrui Liu
Zhiqiang Zhang
Jun Zhou
Jeffrey Xu Yu
SSL
82
0
0
10 Feb 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
26
1
0
08 Jan 2025
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Jiawen Qin
Pengfeng Huang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Jianxin Li
21
0
0
23 Dec 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced
  Classification
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification
Bishal Thapaliya
Anh Nguyen
Yao Lu
Tian Xie
Igor Grudetskyi
Fudong Lin
Antonios Valkanas
Jingyu Liu
Deepayan Chakraborty
Bilel Fehri
16
1
0
15 Oct 2024
Towards Fair Graph Representation Learning in Social Networks
Towards Fair Graph Representation Learning in Social Networks
Guixian Zhang
Guan Yuan
Debo Cheng
Lin Liu
Jiuyong Li
Shichao Zhang
16
0
0
15 Oct 2024
Rethinking Fair Graph Neural Networks from Re-balancing
Rethinking Fair Graph Neural Networks from Re-balancing
Zhixun Li
Yushun Dong
Qiang Liu
Jeffrey Xu Yu
16
7
0
16 Jul 2024
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer
  Nodes
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
Qian Wang
Zemin Liu
Zhen Zhang
Bingsheng He
14
0
0
20 Feb 2024
Class-Imbalanced Learning on Graphs: A Survey
Class-Imbalanced Learning on Graphs: A Survey
Yihong Ma
Yijun Tian
Nuno Moniz
Nitesh V. Chawla
17
18
0
09 Apr 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Jia Wu
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio'
GNN
AI4CE
22
10
0
14 Jan 2023
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence
  Calibration
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
91
113
0
29 Sep 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
148
25,150
0
09 Jun 2011
1