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Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph
  Node Classifiers

Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers

1 November 2022
Haris Mansoor
Sarwan Ali
Shafiq Alam
Muhammad Asad Khan
U. Hassan
Imdadullah Khan
    FaML
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Papers citing "Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers"

3 / 3 papers shown
Title
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Debolina Halder Lina
Arlei Silva
31
0
0
02 Nov 2023
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network
  Model
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Sarwan Ali
24
5
0
19 Nov 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
47
104
0
16 May 2022
1