Abstract Structure-based topological descriptors/indices of complex chemical networks
enable prediction of physico-chemical properties and the bioactivities of these compounds …

Given a finite simple graph G, let G'be its barycentric refinement: it is the graph in which the
vertices are the complete subgraphs of G and in which two such subgraphs are connected, if …

Graph theory is a common topic that is introduced as part of the curricula of computing
courses such as Computer Science, Computer Engineering, Data Science, Information …

This paper presents a visualization tool that works as a debugger to learn the minimal
spanning tree. The tool allows the user to enter the graph as a matrix and then allow the …

Graph theory is becoming increasingly important in various scientific disciplines. The graph
coloring problem is an abstraction of partitioning entities in the presence of conflicts. It is …

In order to improve the student learning process, we present a framework to define attractive
computer laboratory lessons in Engineering Degrees. Theoretical concepts are illustrated …

In this study, the effectiveness of using a mobile learning application developed for graph
theory education is investigated by evaluating its impact on the academic performance of …

Vefsíðan GTea er kynnt, þar hafa verið útfærð tvö lagneta-prófana reiknirit. Af þessum
reikniritum, þá nýtir annað sér jarðýtu aðferð, á meðan hitt er skilvirkara reiknirit sem nýtir sér …

A system called Graph Playground has been created to enhance the teaching of introductory
graph theory and graph algorithms presented in courses like CSC 340, Applied …

Opportunistic networks are human-centric mobile ad-hoc networks, in which neither the
topology nor the participating nodes are known in advance. Routing is dynamically planned …