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 ...

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

From here graph theory got expanded and generalized into relations between objects, ... But wait times are real-time data that’s no different than wait-times at red lights.

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...

In a nascent market such as graph databases, with over 30 different options and without the equivalent of SQL - a standard, universally accepted query language in the relational database world ...

At the same time, Neo4j also rolled out its Native Graph Platform, which brings together such capabilities as analytics, visualization, discovery, and data import and transformation to the company’s ...

Some graph database products on the market are really wrappers built on top of a more generic NoSQL data store. ... Computer science theory tells us that finding the best overall graph ...

agamemnon is a Python-based graph database built on pycassa, the Python client library for Apache Cassandra. In short, it enables you to use Cassandra as a graph database. The API is inspired by ...

For almost 300 years, graph theory remained a mostly academic pursuit. But graphs have turned out to be an ingenious way of dealing with large volumes of data, and especially complex relationships ...

applied math big data computer science graph theory mathematics neural networks topology All topics Graph theory isn’t enough. The mathematical language for talking about connections, which usually ...