Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Graphs are ideal for handling these tasks. Graph algorithms are the driving force behind the next generation of AI and machine learning that will power even more industries and use cases.

Connecting And Leveraging Data. Knowledge graph technology is transforming the way that organizations manage and make sense of data: A Unified View: By integrating data from multiple sources ...

Nebula Graph provides an industry-best capability of storing and handling billions of vertices and trillions of edges, with just milliseconds of latency. Its shared-nothing deployment architecture, ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights ...

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

Involving children in collecting and presenting data for graphs, charts or pictograms helps them to understand the information. Although we as adults are able to look at a graph and very quickly take ...

Graph analysis is a whole new area for GIS, according to Esri Founder and President Jack Dangermond, with the potential to promote various new kinds of data discovery, as graph technology informs ...