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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
#07 - Jian Kang (UIUC) - Algorithmic Foundation of Fair Graph Mining
Fairness in Graph Mining A Survey
KDD 2025 - Towards Controllable Hybrid Fairness in Graph Neural Networks
Graph Mining and Analysis Hands On Tutorial_2
FairRankVis A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models
Graph Mining Algorithm
Tutorial: Graph Rewiring: From Theory to Applications in Fairness
Tutorial: 21 fairness definitions and their politics
Group Fairness Metrics
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Last Updated: September 30, 2026
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Summary
Speaker: Daniel Kaszynski, SGH Warsaw School of Economics Friday, June 19th, 2026 ... ... references which includes this paper and also a survey paper in our group about IEEE VIS 2021 Presentation "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic The presentation video of "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic ... the input graph and why does the Zihan Luo:Huazhong University of Science and Technology;Hong Huang:Huazhong University of Science and Technology ... FairRankVis A Visual Analytics Framework for Exploring Algorithmic Organizers: Adrian Arnaiz-Rodriguez, Francisco Escolano, and Nuria Oliver Abstract: Computer scientists and statisticians have devised numerous mathematical criteria to define what it means for a classifier or a ...