This book is about graph energy. The authors have included many of the important results
on graph energy, such as the complete solution to the conjecture on maximal energy of …

Abstract In 1971, Graham and Pollack established a relationship between the number of
negative eigenvalues of the distance matrix and the addressing problem in data …

This paper considers all the commonly occurring distance-related graphical indices and
investigates their potential to predict thermodynamic properties of benzenoid hydrocarbons …

The European REACH regulation requires information on ready biodegradation, which is a
screening test to assess the biodegradability of chemicals. At the same time REACH …

Quantitative structure-property relationship (QSPR) modeling employs contemporary
mathematical tools to predict physicochemical, thermodynamic and biological properties of …

Özet If G is a graph on n vertices, and d (i) is the degree of its i-th vertex, then the Randic
matrix of G is the square matrix of order n whose (i, j)-entry is equal to 1/root d (i) d (j) di if the …

If\(G=(\mathbf {V}\\mathbf {E})\) is a molecular graph and\(d_u\) is the degree of vertex\(u\),
then the first and second Zagreb indices are\(\sum_ {u\in\mathbf {V}} d_u^ 2\) and\(\sum …

In this paper, we investigate the prediction potential of commonly occurring eigenvalues-
based descriptors which are related to chemical matrices corresponding to valency of …

In this paper, we investigate the predictive potential of commonly occurring spectrum-based
distance descriptors which are based on eigenvalues of distance-related chemical matrices …

In this paper we introduce a new kind of graph energy, the minimum covering energy, Ec
(G). It depends both on the underlying graph G, and on its particular minimum cover C …