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Hybrid label propagation for multiple source localization in hypergraphs
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AI
DOI：10.1016/j.chaos.2026.118906.png)
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Abstract
En 中文
• A hybrid label propagation framework for multi-source localization on hypergraphs is proposed. • The model integrates hyperedge-level and node-level diffusion with guaranteed convergence. • Experiments on synthetic and empirical hypergraphs show significant gains over state-of-the-art methods.
Journal
C
IF:
5.6
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373
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0