A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.

In this article, I’ll walk you through a program that leverages Go pointers and references to solve a real-world use case: ... Reverse indices - Perform complex graph lookups ; ...

REDWOOD CITY, Calif., July 30, 2019 — TigerGraph, the only scalable graph database for the enterprise, today announced the launch of its PartnerGraphProgram. The program enables businesses to redefine ...

Quine, a real-time graph data processing engine for ETL pipelines, has reached a performance benchmark of processing one million events per second, Translation Disclaimer. About; ... distributed ...

Graphs are used to model complex systems, and GNNs provide a way to analyze and make predictions based on the structure of the graph. GNNs are a type of deep-learning algorithm that can operate on ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...