Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

During the Build 2017 Day 2 keynote in May, Microsoft execs repeatedly referenced Microsoft Graph, the successor to Office Graph, as the key enabler of next-generation computing scenarios. Graph (the ...

The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Showing developers how to build smarter apps is going to be one of the pillars of Microsoft's Build 2016 conference next week. At the heart of that lesson will be Microsoft Graph, the technology ...