The road to competitive advantage and differentiation based on learning to think in graphs is going to be different for each company. But it is a road worth traveling.

Deep learning, meet knowledge graphs When asked if he thinks knowledge graphs can have a role in the hybrid approach he advocates for, Marcus was positive.

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional ...

The idea is that graph networks are bigger than any one machine-learning approach. Graphs bring an ability to generalize about structure that the individual neural nets don't have.

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...