GraphALP combines LLM-generated minority node oversampling with confidence-weighted pseudo-labeling to improve node classification on graphs that have both class imbalance and label noise.
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When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
GraphALP combines LLM-generated minority node oversampling with confidence-weighted pseudo-labeling to improve node classification on graphs that have both class imbalance and label noise.