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cs.LG2025
Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
Chuantao Li, Zhi Li, Jiahao Xu +2
Numerous studies on Boosting attempt to mitigate classification bias caused by class imbalance. However, existing studies have yet to explore the collaborative optimization of imba…
cs.LG2025
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang, Yuchen Song, Sheng'en Li +1
Graph anomaly detection (GAD) has become an increasingly important task across various domains. With the rapid development of graph neural networks (GNNs), GAD methods have achieve…