Graphs or networks provide a powerful abstraction to view and analyze relationships among different entities present in a dataset. However, much of the data of interest to analysts and data scientists resides in non-graph forms such as relational databases, JSON, XML, CSV and text. The effort and skill required in identifying and extracting the relevant graph representation from data is often t...

In this paper, we present a general framework to estimate the network entropy that is represented by means of an undirected graph and subsequently employ for classification tasks. The proposed based on local information functionals which are defined using induced connected subgraphs different sizes. These termed graphlets. Specifically, extract set all graphlets specific sizes compute our frame...

In this paper the performance of four well-known metaheuristics consisting of Artificial Bee Colony (ABC), Biogeographic Based Optimization (BBO), Harmony Search (HS) and Teaching Learning Based Optimization (TLBO) are investigated on optimal domain decomposition for parallel computing. A clique graph is used for transforming the connectivity of a finite element model (FEM) into that of the cor...