Author

Yang Kong

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Jul 2026

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

Dynamic Spectral Filtering is introduced, which represents propagation at snapshot t by a Chebyshev polynomial filter with vector-valued, time-dependent coefficients that supports direct spectral-response evolution as a useful temporal inductive bias when computational efficiency is a first-class requirement.

Yang Kong · arXiv.org · 0 citations