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

Graph Node defines a store abstraction that they ... This is becoming a common pattern in the GraphQL ecosystem. If the other data stores are also decentralized, then they would also be able ...

Detecting patterns using machine learning, algorithms and advanced queries. I am yet to explore algorithms and machine learning (in connection with graphs), but here is an example of detecting a ...

Ramsey numbers have spawned a whole discipline called Ramsey theory, which looks for inescapable patterns in a huge ... about the integers or about graphs. A graph, in this context, refers to ...

requiring a message to be sent across a network to some other node Keeping data on disk and working with only a small part of that data in memory results in thrashing of data between RAM and disk in ...

It uses a node model for queries ... what matters to your business as much as by the underlying patterns in the data. Having a graph database like Neo4j in the Azure Marketplace gives you a ...

The average number of nodes was about five, meaning there were fewer than 9,000 possible pattern combinations. A significant percentage of patterns had just four nodes, shrinking the pool of ...

The governance of the network has been turned over to an independent network, The Graph Foundation. A new software and services company, Edge & Node is emerging from stealth mode, established to ...