Author

Tongze Zhang

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#artificial intelligence Preprint Oct 2026

HeteGCD: Statistics-Aware Dual-Prototype Learning for Generalized Category Discovery on Heterophilous Graphs

HeteGCD is proposed, a new statistics-aware dual-prototype learning perspective for generalized category discovery on heterophilous graphs that combines feature-based similarity with distribution-based consistency to support category discovery.

Xuan-Zhi Xi, Tong-Ze Zhang, Zhi-Li Qin et al. · 0 citations

#machine learning Preprint Sep 2026

A Lightweight Plastic-Memory Framework for Graph Few-Shot Class-Incremental Learning

This paper proposes a novel lightweight plastic-memory framework specifically designed for few-shot incremental learning on graphs, featuring an innovative evolving micro-clustering structure that dynamically updates representations of class prototypes, sub-prototypes, and their interaction weights.

Zi-Han Mei, Zhi-Li Qin, Tongze Zhang et al. · 0 citations