G. Agrahari

activity

20242026

collaborators

4 papers

math.CO2026

On some structural properties of graphs with non-negative resistance curvature

Gyaneshwar Agrahari, Christin Bibby, Sean Boros +4

A graph is called resistance nonnegative (RN), respectively resistance positive (RP), if it admits positive edge weights such that all vertex resistance curvatures are nonnegative,…

math.CO2025

Counting $k$ -cycles in $5$ -connected planar triangulations

Gyaneshwar Agrahari, Xiaonan Liu, Zhiyu Wang

We show that every $n$ -vertex $5$ -connected planar triangulation has at most $9 n - 50$ many cycles of length $5$ for all $n \geq 20$ and this upper bound is tight. We also show that fo…

cs.LG2025

Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning

Gyaneshwar Agrahari, Kiran Bist, Monika Pandey +7

Accurate prediction of anthropometric body composition variables, such as Appendicular Lean Mass (ALM), Body Fat Percentage (BFP), and Bone Mineral Density (BMD), is essential for…

math.CO2024

On some classes of cycles-related $Γ$ -harmonious graphs

Gyaneshwar Agrahari, Dalibor Froncek

A graph $G (V, E)$ is $Γ$ -harmonious when there is an injection $f$ from $V$ to an Abelian group $Γ$ such that the induced edge labels defined as $w (x y) = f (x) + f (y)$ form a bijection f…

On some structural properties of graphs with non-negative resistance curvature

Counting k-cycles in 5-connected planar triangulations

Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning

On some classes of cycles-related Γ-harmonious graphs

Counting $k$ -cycles in $5$ -connected planar triangulations

On some classes of cycles-related $Γ$ -harmonious graphs