Uncovering the Structural Fairness in Graph Contrastive Learning

6 October 2022

Papers citing "Uncovering the Structural Fairness in Graph Contrastive Learning"

4 / 4 papers shown

Title
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training J. Liu Xiaoqian Jiang X. Li Bohan Zhang J. Zhang 27 0 0 12 Apr 2025
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 28 0 0 12 Oct 2024
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 22 0 0 23 Oct 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 36 98 0 16 May 2022