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News/Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds
arxiv
PublishedJuly 22, 2026 at 4:00 AM
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Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds

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arXiv:2607.19042v1 Announce Type: cross Abstract: Neural hypergraphs are a natural generalization of neural networks, the reference models in modern machine learning. Yet, their deployment has proven demanding: the number of weighted hyperedges required leads to an intractable parameter explosion. H

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