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

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 ...

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 ...

TigerGraph, maker of a graph analytics platform for data scientists, during its Graph & AI Summit event today introduced its TigerGraph ML (Machine Learning) Workbench, a new-gen toolkit that ...

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 ...