Graph optimisation problems encompass a diverse range of challenges aimed at finding optimal or near‐optimal solutions in networks or graphs. These problems are pivotal in areas such as ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy ...

Identity management for cybersecurity is inherently a complex graph problem due to the vast, dynamic, and interconnected nature of modern IT environments.

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX ...

We will apply these methods in two high-impact applications: long-read RNA transcript discovery, and indexing massive and rapidly growing genomic databases. This project paves the way for exact graph ...

The State of Graph Databases Worldwide A few days ago, IBM released "The State of Graph Databases Worldwide," a report on the adoption and use case characteristics of graph databases.

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Are you sitting on a boatload of linked data, or have an innovative idea for a graph database? If so, then you might be interested in the $1 million in prize money that TigerGraph is putting up for ...