RELIANT: Fair Knowledge Distillation for Graph Neural Networks

RELIANT: Fair Knowledge Distillation for Graph Neural Networks

3 January 2023

Papers citing "RELIANT: Fair Knowledge Distillation for Graph Neural Networks"

10 / 10 papers shown

Title
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 91 19 0 28 Jan 2025
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 34 1 0 02 Oct 2024
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis Anshu Pundhir Balasubramanian Raman Pravendra Singh 34 0 0 16 May 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 41 3 0 20 Oct 2023
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries Yiqiao Jin Mohit Chandra Gaurav Verma Yibo Hu Munmun De Choudhury Srijan Kumar LM&MA ELM 89 66 0 19 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
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
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan A. Rossi Namyong Park Puja Trivedi Yu-Chiang Frank Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 33 9 0 08 Jul 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019