GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
Classification

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

16 June 2023

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

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Title
Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey Mengran Li Pengyu Zhang Wenbin Xing Yijia Zheng Klim Zaporojets ... Jia Hu Xiaolei Ma Zhiyuan Liu Paul Groth Marcel Worring AI4CE 149 0 0 24 May 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 191 0 0 10 Feb 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 134 1 0 08 Jan 2025
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing Jiawen Qin Pengfeng Huang Qingyun Sun Cheng Ji Xingcheng Fu Jianxin Li 77 0 0 23 Dec 2024
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 62 2 0 15 Oct 2024
Towards Fair Graph Representation Learning in Social Networks Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 117 0 0 15 Oct 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 93 7 0 16 Jul 2024
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes Qian Wang Zemin Liu Zhen Zhang Bingsheng He 80 1 0 20 Feb 2024
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh Chawla 90 22 0 09 Apr 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 132 15 0 14 Jan 2023