Author

Shirui Pan

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Preprint Aug 2026

PaSta: Noisy Node Classification with Partial Label Learning

This paper proposes a novel Partial label-based Self-training framework (PaSta) that leverages partial label learning technique to overcome the limitations of existing methods and designs a partial label-based classification model with two well-crafted loss functions to guide the model learning at both label and representation spaces.

Yujing Liu, Yixin Liu, Yu Zheng et al. · 0 citations