Abstract: Finding the isomorphic graph is the problem that have algorithms with the complexity time. For this in general, because of classification for algorithms time complexity, this solution stay ...

The evolution of web search engines offers an instructive example, showing how knowledge can be extracted from unstructured sources and refined over time into a structured, interconnected graph.

For example, a file in exps/AE/DikeDataset is only comparable with a file in ebds/AE/DikeDataset and the corresponding graph type, in this case CFG, within the file in cfgs_fcgs/DikeDataset. We are ...

The lib CBioInfCpp.h contains 3 groups of functions for C++: "Input-Output", "Working with strings", "Working with graphs". Data structures "Adjacency vector" and "Adjacency map" are implemented in ...

1. Introduction Graph coloring is a branch of graph theory which deals with such partitioning problems. For example, suppose that we have world map and we would like to color the countries so that if ...

Introduction: Given the direct association with malignant ventricular arrhythmias, cardiotoxicity is a major concern in drug design. In the past decades, computational models based on the quantitative ...

Abstract: The Graph Isomorphism problem regained interest with the rise of Graph Neural Networks (GNN). These GNN models have limited ability to distinguish between isomorphic graphs and hence their ...

What Is a Risk Graph? A risk graph ... What It Is and How It Works in Investing, With Examples ...