Tutorial Fairness In Graph Mining Tutorial Fairness In Graph Mining

Tutorial Fairness In Graph Mining Tutorial Fairness In Graph Mining Information Guide

1. Overview of Tutorial Fairness In Graph Mining Tutorial Fairness In Graph Mining
2. Key Details
3. Recent Updates
4. Deep Dive
5. Future Outlook

Overview of Tutorial Fairness In Graph Mining Tutorial Fairness In Graph Mining

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 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:

Key Details

Recent Updates

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

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

Tutorial: Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned (KDD 2019)

Graph Mining Algorithm

Fairness in Graph Mining A Survey

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

Graph Mining

Graph Mining

Group Fairness Metrics

KDD 2025 - Towards Controllable Hybrid Fairness in Graph Neural Networks

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

Graph Mining - Module 6

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 25, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.