Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs
This work proposes CoTeach, a Confidence-aware dual-teacher learning framework that dynamically selects the more reliable teacher for each node, and demonstrates that CoTeach consistently improves few-shot node classification performance while reducing unnecessary LLM utilization and associated monetary costs.
Hojin Kim, Sujin Yoon, Sungsu Lim et al.
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