Spectra-Guided Neural Tucker Factorization

Fusheng Wang; Yikai Hou

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arXiv · 2606.00584

Spectra-Guided Neural Tucker Factorization

Fusheng Wang·Yikai Hou

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Abstract

This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits, SG-NTF maps scalar timestamps into a continuous spectral space to abstract temporal periodicities. Concurrently, a Spatio-Temporal Co-Gating (STCG) mechanism explicitly filters latent interactions via multiplicative modulation on spatiotemporal contexts. Evaluations on real-world HDI tensors verify that SG-NTF maintains competitive completion accuracy with parameter efficiency.

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BibTeX RIS

Fusheng Wang, Yikai Hou. 2026-05-30. Spectra-Guided Neural Tucker Factorization. https://arxiv.org/abs/2606.00584

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