2 papers
cs.LG2025
FairGSE: Fairness-Aware Graph Neural Network without High False Positive Rates
Zhenqiang Ye, Jinjie Lu, Tianlong Gu +2
Graph neural networks (GNNs) have emerged as the mainstream paradigm for graph representation learning due to their effective message aggregation. However, this advantage also ampl…
cs.LG2024
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
Yiqin Luo, Tianlong Gu
With the rapid advancement of deep learning technologies, artificial intelligence has become increasingly prevalent in the research and application of dermatological disease diagno…