HyperLabel: Multi-Label Classification via Hypergraph-Based Label Correlation Modeling
This work proposes HyperLabel, an encoder-decoder framework that explicitly models label dependencies through hypergraph neural networks, and proposes a unified cross-modal learning approach where HGNN+ performs bidirectional message passing to integrate feature information with label structure, and a shared cross-atte...
Pei-Yu Zhang, Heng Ping, Nikos Kanakaris et al.
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