See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another.

The need for efficient and fast data processing tools in industries that manage large-scale graph data has led to the development of GraphCP, a technology that dramatically improves processing speeds.

This is partly due to the increased functionality, scalability, and programmatic ease of graph processing approaches, but also because if it wasn’t clear before, the days of the traditional relational ...

OpenVX abstracts a vision processing execution and memory model as ... algorithms for feature tracking and neural networks mapped to the graph API. There will be a hands-on interactive session for ...

PORTLAND, Ore.--(BUSINESS WIRE)--thatDot, Inc., a pioneer in complex event stream processing software, today released Quine. Quine’s unique approach combines graph data and streaming ...

This is the sixth article of the "Big Data Processing with Apache Spark” series. Please see also: Part 1: Introduction, Part 2: Spark SQL, Part 3: Spark Streaming, Part 4: Spark Machine Learning ...

which speeds up processing times tenfold. The combination of the Hyperscience Platform with Boxplot’s graph technology will result in faster and better decisions, such as how to price insurance ...