As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Some applications are so inherently complicated that it is difficult to dig through the many layers of connected algorithms to expose the parts of the code ripe for optimization. This makes them a ...

Graph (a) shows the two one-dimensional graph states chain (linear cluster) and star on the left, one above the other, and the two-dimensional graph states box and two variants of the ring on the ...

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

The foundation for Knowledge Graphs and AI lies in the facets of semantic technology provided by AllegroGraph and Allegro CL. AllegroGraph is a graph based platform that enables businesses to extract ...

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 technologies into ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Amy Holder from Neo4j. She examines recent interest in graph databases as the basis ...