The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

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.

Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.

A good graph data model can make all the difference to solutions and services like these, both increasing efficiency and enabling complex network analysis to uncover hidden insights in your data. In ...

Anyone working in modern data applications will see at once that it is very clearly a graph model—it’s made up of nodes with attributes linked by relationships. You can try the same experiment ...

A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

2021-10-06 Update: The original files were moved into the old subdirectory. While the CSV should be correct, the directed_node_link_graph.json file appeared to export from NetworkX with some errors. I ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.

The key to accelerating digital-twin development is through the use of knowledge graphs — machine-readable representations of the physical and digital worlds, such as people, companies, digital assets ...