Quasiquadratic Time Algorithms for Square and Pentagon Counting in Real-World Networks. - Grover E. C. Guzman; Jared León (SIMBig, 2020)

Convolution-based linear discriminant analysis for functional data classification. - Grover E. C. Guzman; André Fujita (Inf. Sci., 2021)

Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. - Grover E. C. Guzman; Peter F. Stadler; André Fujita (Netw. Sci., 2021)

Efficient eigenvalue counts for tree-like networks. - Grover E. C. Guzman; Peter F. Stadler; André Fujita (J. Complex Networks, 2022)

A fast parameter estimator for large complex networks. - Grover E. C. Guzman; Daniel Yasumasa Takahashi; André Fujita (J. Complex Networks, 2022)

A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. - Grover E. C. Guzman; André Fujita (J. Complex Networks, 2023)

Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test. - Grover E. C. Guzman; André Fujita (J. Complex Networks, 2025)

Vertex-wise graph's spectral density decomposition and its applications. - Grover E. C. Guzman; Daniel Yasumasa Takahashi; André Fujita (J. Complex Networks, 2025)