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FairSample: Training Fair and Accurate Graph Convolutional Neural
  Networks Efficiently

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

26 January 2024
Zicun Cong
Baoxu Shi
Shan Li
Jaewon Yang
Qi He
Jian Pei
ArXivPDFHTML

Papers citing "FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently"

3 / 3 papers shown
Title
FedFair: Training Fair Models In Cross-Silo Federated Learning
FedFair: Training Fair Models In Cross-Silo Federated Learning
Lingyang Chu
Lanjun Wang
Yanjie Dong
J. Pei
Zirui Zhou
Yong Zhang
FedML
43
38
0
13 Sep 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
283
4,143
0
23 Aug 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,086
0
30 Nov 2018
1