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HyperLabel: Multi-Label Classification via Hypergraph-Based Label Correlation Modeling
Multi-label classification (MLC) requires predicting multiple relevant labels for each instance, where a central challenge is modeling complex label dependencies arising from co-occurrence patterns. Existing approaches are limited in capturing high-order label correlations, relying on implicit learn
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