On ve-Degree Irregularity Index of Graphs and Its Applications as Molecular Descriptor

Most of the molecular graphs in area mathematical chemistry are irregular. Therefore, irregularity measure is a crucial parameter chemical graph theory. One such that has recently been proposed ve-degree index (irrve). Quantitative structure property relationship (QSPR) analysis explores capability an to model numerous properties molecules. We investigate usefulness irrve predicting different physico-chemical by carrying out QSPR analysis. It established efficient explain acentric factor and boiling point molecules with powerful accuracy. An upper bound for class all trees computed identifying extremal graphs. noticed result not correct. In this report, we provide counter example justify our argument determine correct outcome.