HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment
Computers, Materials & Continua · Hua Tan, Zhongyi Zhai, Lingzhong Zhao et al. · 2026
- EnglishRead in your language
- CitedEvery fact sourced
- Ad-freeNo ads, no tracking
Quick facts
Questions
- Who wrote HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment?
- HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment was written by Hua Tan, Zhongyi Zhai, Lingzhong Zhao, Shike Long.
- When was HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment first published?
- HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment was first published in 2026.
Sources
Last updated · facts checked 14 October 2026
Cite this page
"HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment". DigiNepal. Last updated 14 October 2026. https://diginpl.com/books/paper-cmc-2026-087784. Retrieved 9 November 2026.
Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.087784.