EDNO redefines pansharpening as a frequency-domain functional mapping that decouples fusion via Euler-inspired polar coordinates into explicit phase-rotation simulation and implicit spectral modeling for improved efficiency.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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PHKT uses personalized dynamic hypergraphs and KAN-Transformer to outperform baselines in multi-behavior sequential recommendation on Tmall, RetailRocket, and IJCAI.
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Euler-inspired Decoupling Neural Operator for Efficient Pansharpening
EDNO redefines pansharpening as a frequency-domain functional mapping that decouples fusion via Euler-inspired polar coordinates into explicit phase-rotation simulation and implicit spectral modeling for improved efficiency.
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PHKT:Personalized Dynamic Hypergraph-enhanced KAN-Transformer for Multi-behavior Sequential Recommendation
PHKT uses personalized dynamic hypergraphs and KAN-Transformer to outperform baselines in multi-behavior sequential recommendation on Tmall, RetailRocket, and IJCAI.