The paper derives a per-class generalization bound for imbalanced transductive node classification and introduces UPL, a pseudo-labeling algorithm that filters minority-class pseudo-labels by entropy variance across edge-perturbed graphs.
Repeating the process, we arrive at mkuk mk + uk ˆRmi+ui (H) ≤ 1 λ log 2d · Eϵ exp M λ mk+ukX i=1 ϵiXi !!
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UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
The paper derives a per-class generalization bound for imbalanced transductive node classification and introduces UPL, a pseudo-labeling algorithm that filters minority-class pseudo-labels by entropy variance across edge-perturbed graphs.