Aug 2026
SIAGXC: a prediction-augmented graph model on extreme multi-label classification
SIAGXC, a prediction-augmented graph framework for XMLC that leverages auxiliary relational signals derived from an upstream XMLC model, demonstrates that prediction-derived auxiliary relations provide an effective way to enhance graph-based XMLC.
Zihao Yin, Zhihai Wang, Xiao-Kang Wang et al.
· Applied intelligence (Boston... · 0 citations