GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification

24 February 2023

Papers citing "GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification"

9 / 9 papers shown

Title
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 105 0 0 10 Feb 2025
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Media Bruno Croso Cunha da Silva Thomas Palmeira Ferraz R. Lopes AI4CE 25 1 0 24 Oct 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 29 1 0 15 Oct 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 37 1 0 08 Jul 2024
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes Qian Wang Zemin Liu Zhen Zhang Bingsheng He 27 1 0 20 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 27 1 0 15 Feb 2024
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh V. Chawla 25 19 0 09 Apr 2023
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011