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 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 ...

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 ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Graph-based metamaterial modeling and construction principles have been introduced, including the set up. By using this strategy, the authors have demonstrated how to obtain beam-like and plane wave ...

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 ...

Monica Roman, Dorin Popescu, Dan Selişteanu*, An Interactive Teaching System for Bond Graph Modeling and Simulation in Bioengineering, Educational Technology & Society, Vol. 16, No. 4 (October 2013), ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...