Tutorial Fairness In Graph Mining

Media Summary: Speaker: Daniel Kaszynski, SGH Warsaw School of Economics Friday, June 19th, 2026 ... The presentation video of "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic IEEE VIS 2021 Presentation "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic

Tutorial Fairness In Graph Mining - Detailed Analysis & Overview

Speaker: Daniel Kaszynski, SGH Warsaw School of Economics Friday, June 19th, 2026 ... The presentation video of "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic IEEE VIS 2021 Presentation "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic ... references which includes this paper and also a survey paper in our group about There are various approaches to measuring unfairness in machine learning models. We explore how to use accuracy and 3 ... In the second part of this series on Algorithmic Bias and

FairRankVis A Visual Analytics Framework for Exploring Algorithmic In November, we have a special guest, Panos Alexopoulos ( Head of Ontology at ...

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Tutorial: Fairness in Graph Mining

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

#01 - Yushun Dong (University of Virginia) - Fairness in Graph Mining: Metrics and Algorithms

#07 - Jian Kang (UIUC) - Algorithmic Foundation of Fair Graph Mining

#04 - Jing Ma (University of Virginia) - Fair Node Representation with Graph Counterfactual Fairness

Graph Mining Algorithm

Fairness in Graph Mining A Survey

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

How To Make Algorithms Fairer | Algorithmic Bias and Fairness

Algorithmic Fairness: why it's hard, and why it's interesting (CVPR 2022 Tutorial) — part 1

FairRankVis A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

View Detailed Profile

Tutorial: Fairness in Graph Mining

Tutorial: Fairness in Graph Mining

Speaker: Daniel Kaszynski, SGH Warsaw School of Economics Friday, June 19th, 2026 ...

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

The presentation video of "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

IEEE VIS 2021 Presentation "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic

#01 - Yushun Dong (University of Virginia) - Fairness in Graph Mining: Metrics and Algorithms

#01 - Yushun Dong (University of Virginia) - Fairness in Graph Mining: Metrics and Algorithms

... content about

#07 - Jian Kang (UIUC) - Algorithmic Foundation of Fair Graph Mining

#07 - Jian Kang (UIUC) - Algorithmic Foundation of Fair Graph Mining

... the input graph and why does the

#04 - Jing Ma (University of Virginia) - Fair Node Representation with Graph Counterfactual Fairness

#04 - Jing Ma (University of Virginia) - Fair Node Representation with Graph Counterfactual Fairness

... references which includes this paper and also a survey paper in our group about

Graph Mining Algorithm

Graph Mining Algorithm

Graph Mining

Fairness in Graph Mining A Survey

Fairness in Graph Mining A Survey

Fairness in Graph Mining

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact

There are various approaches to measuring unfairness in machine learning models. We explore how to use accuracy and 3 ...

How To Make Algorithms Fairer | Algorithmic Bias and Fairness

How To Make Algorithms Fairer | Algorithmic Bias and Fairness

In the second part of this series on Algorithmic Bias and

Algorithmic Fairness: why it's hard, and why it's interesting (CVPR 2022 Tutorial) — part 1

Algorithmic Fairness: why it's hard, and why it's interesting (CVPR 2022 Tutorial) — part 1

This is part 1; part 2 can be found at https://youtu.be/h_aAtC8zvKo

FairRankVis A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

FairRankVis A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models

FairRankVis A Visual Analytics Framework for Exploring Algorithmic

NLP for mining knowledge graphs - Tasks, challenges and pitfalls

NLP for mining knowledge graphs - Tasks, challenges and pitfalls

In November, we have a special guest, Panos Alexopoulos (https://www.linkedin.com/in/panosalexopoulos/, Head of Ontology at ...