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Confidence-guided dual hypergraph learning for sparse-label graph classification
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DOI：10.1016/j.patcog.2026.113871.png)
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Abstract
En 中文
• Innovatively utilizing dual hypergraphs to extract various high-order information. • Developing an adaptive encoder to effectively utilize various high-order information. • Designing a confidence-aware extractor to alleviate the confidence crisis.
Keywords:
dual hypergraph
sparse-label graph classification
adaptive encoder
confidence-aware extractor
high-order information
Journal
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7.6
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