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 ...

According to thatDot, they monitor streams for specified patterns while maintaining partial matches and executing user-specified actions as soon as a full match is made. These actions can include ...

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 ...