I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

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 ...

A graph model has exactly as much semantic meaning as you want, with no normalization and no waste. Additionally, the graph model supports object-oriented thinking, as clear, explicit semantics are ...

Graph analysis is not a new technology, but many analytics professionals remain unfamiliar with it. One reason for this is that most people learn to associate data modeling with only one structure ...

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.