This repository contains a comprehensive implementation of a Graph data structure in Python. The Graph class provides a robust and feature-rich structure for working with graphs, including methods for ...

A graph is a non-linear data structure consisting of nodes (vertices) connected by edges. Nodes represent entities, and edges represent relationships between them. Graphs are versatile and can ...

A data graph is a data structure used to represent and model relationships between various pieces of data. It consists of nodes and edges, where nodes represent data points, and edges represent the ...

Abstract: The performance of graph algorithms can vary greatly depending on the data structure used to store the graph. This is happen due to the fact that the graph is an inherently irregular data ...

Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains, including social networks, ...

Surprisingly, there is a lack of study on scaling out graph data structures to represent sparse dynamic graphs in a commodity cluster, and even the latest work [1] based upon the most common in-memory ...