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.

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

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.

In the following code, I will show you how I used pointers and references to build the graph data structure efficiently, perform quick lookups, and consume as little memory as possible. 1.

Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. The social network's latest reveal is about ...

Streaming graph application platform startup Memgraph Ltd. announced today that it has closed on a $9.34 million seed funding round. The round, which came as the company launched Memgraph 2.0, was ...

Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb.