{"id":"paper-cmc-2026-087784","type":"book","url":"https://diginpl.com/books/paper-cmc-2026-087784","language":"en","name":"HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment","name_en":"HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment","name_ne":null,"description":"Computers, Materials & Continua · Hua Tan, Zhongyi Zhai, Lingzhong Zhao et al. · 2026","headline":"Computers, Materials & Continua · Hua Tan, Zhongyi Zhai, Lingzhong Zhao et al. · 2026","also_known_as":[],"summary":"","summary_more":[],"facts":[{"key":"authors","label":"Author","values":[{"text":"Hua Tan"},{"text":"Zhongyi Zhai"},{"text":"Lingzhong Zhao"},{"text":"Shike Long"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.087784"}},{"key":"published","label":"Published","values":[{"text":"2026","date":"2026"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.087784"}},{"key":"publisher","label":"Publisher","values":[{"text":"Tech Science Press"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.087784"}},{"key":"journal","label":"Journal","values":[{"text":"Computers, Materials & Continua"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.087784"}},{"key":"doi","label":"DOI","values":[{"text":"10.32604/cmc.2026.087784","url":"https://doi.org/10.32604/cmc.2026.087784"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.087784"}}],"office":null,"sections":[],"cited":[],"cited_from":null,"videos":[],"last_reviewed":null,"organizations":[],"same_as":["https://doi.org/10.32604/cmc.2026.087784"],"faq":[{"q":"Who wrote HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment?","a":"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."},{"q":"When was HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment first published?","a":"HT-FairGNN: High-Threshold Fairness for Graph Neural Networks via Soft Survival-Function Alignment was first published in 2026."}],"related":[],"places_in":[],"nearby":[],"image":null,"sources":[{"label":"Publisher record (DOI, via Crossref)","url":"https://doi.org/10.32604/cmc.2026.087784","license":null}],"license":null,"attribution":"Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.087784.","cite":"\"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.","date_modified":"2026-10-14T06:19:24Z","facts_checked":"2026-10-14","alternates":{"html":"https://diginpl.com/books/paper-cmc-2026-087784","en":"https://diginpl.com/books/paper-cmc-2026-087784","ne":null}}