Graph algorithms are integral for solving complex programming challenges. They provide methods for handling data relationships through graphs, which are essential in fields like network analysis, ...

Algorithm Visualizer is a PyQt6-based desktop application designed to help users understand and visualize various algorithms, including graph algorithms (BFS, DFS, and Greedy Coloring) and linear ...

This project is part of the System Programming 2 course assignment at Ariel University. The task involves implementing various graph algorithms and data structures. Graph.hpp: Header file containing ...

Showing developers how to build smarter apps is going to be one of the pillars of Microsoft's Build 2016 conference next week. At the heart of that lesson will be Microsoft Graph, the technology ...

MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. Credits: Istockphoto images edited by MIT News Graphs are ...

Abstract: Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data that can be modeled as graphs ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

Abstract: We introduce Object Graph Programming (OGO), which enables reading and modifying an object graph (i.e., the entire state of the object heap) via declarative queries. OGO models the objects ...