There are certain types of topological indices such as degree based topological indices,
distance based topological indices and counting related topological indices etc. Among …

Abstract Machine learning methods provide powerful tools to map physical measurements to
scientific categories. But are such methods suitable for discovering the ground truth about …

Metal-organic networks (MONs) is a family of chemical compounds consisting of clusters or
metal ions and organic ligands. These are studied as one, two or three dimensional …

The complex network models have been widely used to understand mathematical
characteristics of Titanium Dioxide Nanotube. Titanium Dioxide Nanotube is a well-known …

The utilizations of graph theory in chemistry and in the study of molecule structures are more
than someone's expectations, and, lately, it has increased exponentially. In molecular …

There are various topological indices such as degree based topological indices, distance
based topological indices and counting related topological indices etc. These topological …

Graph theory plays a vital role in modeling and designing any chemical structure or
chemical network. Chemical graph theory helps in understanding the molecular structural …

For a molecular graph, a numeric quantity that characterizes the whole structure of a graph
is called a topological index. In the studies of quantitative structure–activity relationship …

Any number that can be uniquely determined by a graph is called a graph invariant. During
the last twenty years' countless mathematical graph invariants have been characterized and …

A topological index can be considered as a transformation of a chemical structure into a real
number. The degree based topological indices such as Randic index, geometric-arithmetic …