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cs.LG2026
Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs
Hojin Kim, Sujin Yoon, Sungsu Lim +2
Text-Attributed Graphs (TAGs) integrate graph structures and node-associated textual attributes, and recent studies have increasingly leveraged Large Language Models (LLMs) to impr…
cs.LG2026
Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural Networks
Joohee Cho, David Yoon Suk Kang, Yunyong Ko
Hypergraph knowledge distillation aims to retain the predictive performance of a hypergraph neural network (HNN) teacher while reducing inference costs through a lightweight studen…