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MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit

MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit

25 September 2019
John Palowitch
Bryan Perozzi
ArXivPDFHTML

Papers citing "MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit"

4 / 4 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
26
0
0
02 Nov 2023
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
34
112
0
21 Apr 2022
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
31
117
0
11 Aug 2021
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
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