Rethinking Fair Graph Neural Networks from Re-balancing

Rethinking Fair Graph Neural Networks from Re-balancing

16 July 2024

Zhixun Li

Qiang Liu

Jeffrey Xu Yu

Papers citing "Rethinking Fair Graph Neural Networks from Re-balancing"

9 / 9 papers shown

Title
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King J. Li 52 3 0 18 Feb 2025
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 100 0 0 10 Feb 2025
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation Chengyu Li Debo Cheng Guixian Zhang Yi Li Shichao Zhang 78 0 0 30 Nov 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 32 3 0 17 Oct 2024
Towards Fair Graph Representation Learning in Social Networks Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 26 0 0 15 Oct 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 46 12 0 10 Jul 2024
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection Zhixun Li Dingshuo Chen Qiang Liu Shu Wu AAML 29 15 0 22 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 56 34 0 30 Sep 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 320 4,203 0 23 Aug 2019