A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

TigerGraph is an HTAP graph database and claims swift, deep analytics as well as fast transaction processing. AnzoGraph, on the other hand, is designed as an OLAP graph database.

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on).

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Mr. Richard Henderson, EMEA Team Lead Solution Architect, at TigerGraph said that his team “built a fraud detection application using machine learning and a graph database to demonstrate that a ...

In addition, deep learning is considered as black box and hard to interpret. These factors make deep learning not widely used in microbiome-wide association studies. In this work, we construct a ...

Graph‐based deep‐learning accelerators have been developed. They function as the Multiple Instructions Multiple Data machines to perform massive parallel operations. Blaize Graph ...

The effectiveness of the approach is verified through experiments using a product device document as a test case. Extracted knowledge is then visualized and stored using Neo4j database. Finally, this ...