Sheffer-type lacunary bivariate $ q $-Laguerre polynomials with applications to heterogeneous graph filters

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Authors: Waseem Ahmad Khan, Oğuz Yağcı, Khidir Shaib Mohamed, Azhar Iqbal, Wei Sin Koh, Naglaa Mohammed
Cited by: 1
References: 32

Abstract

We introduce a lacunary bivariate $ q $-Laguerre–Sheffer family generated by the product of a Sheffer factor, a first $ q $-exponential, and a $ q $-Tricomi–Bessel kernel. The construction has three independent controls: the lacunarity index fixes which powers enter the finite sums, the kernel order changes the Bessel-type shifts, and the Sheffer factor supplies an additional deformation of the sequence. We derive explicit coefficient and convolution formulas, lowering relations, a quasi-monomial operator structure, a $ q $-difference equation, and a $ q $-translation identity. We then evaluate the polynomials at a mass-weighted graph Laplacian associated with heterogeneous network diffusion. This gives polynomial spectral filters whose vertex-domain support is limited to a prescribed graph-hop radius. Numerical examples illustrate the locality bound, spectral response tuning, comparison with a Chebyshev polynomial filter, kernel truncation accuracy, and a one-parameter calibration problem.

Fields of Study & Subjects

Advanced Graph Neural Networks Polynomial and algebraic computation Graph theory and applications

Publication details

Journal / source
Networks and Heterogeneous Media
Publisher
American Institute of Mathematical Sciences (AIMS)
Volume
21
Issue
4
Pages
1393–1425
Publication date
1 January 2026