Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database ...

By applying a well-known graph algorithm to the XRP ledger data, we look at the top 10 XRP accounts by page rank over the past years. PageRank is named after Google co-founder Larry Page and is ...

One answer may be the graph database, which uses nodes, properties and edges rather than traditional indexing to store data. In other words, it allows you to create a graph of connections between ...

Graph databases’ best applications, he said, appear where query processing across complex networks of relationships is vital. He cites MDM, transport logistics and data lineage as such examples.

June 29, 2020 – Nebula Graph is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing ...

Big data algorithms: for whom do they work? May 6, 2019 As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm.