The paper opens with observations that NoSQL databases are generally built to handle certain data models. Tencent admits it ran several of them to power its fleet of products – social networks ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

ArangoDB: Suitable for startups and SMBs, ArangoDB is a multi-model database that supports graph, document, and key/value data models. Its key feature is the flexibility to handle various data ...

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 ...

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 ...

DataStax Enterprise (DSE) is an example of a multi-model database, since at its core it supports Cassandra’s partitioned row store (tabular) model, with a graph abstraction built on top of that .

Graph neural networks. Graph neural networks will be a major trend in 2021, Josifovski predicted. At its core, the deep learning paradigm is a different way of structuring data, like images, and ...