Supervised fine-tuning (SFT) plays a crucial role in adapting large language models (LLMs)
to specific domains or tasks. However, as demonstrated by empirical experiments, the …

This paper studies the problem of class-imbalanced graph classification, which aims at
effectively classifying the categories of graphs in scenarios with imbalanced class …