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 kernels are computer functions that measure the similarity of pairs of graphs in machine learning applications but their complexity have posed a challenge to classical computing systems.

ArangoGraphML bridges this gap by providing enterprise-ready, graph-powered machine learning as-a-service – helping both experts and non-experts extract deeper insights and predictions from their data ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

Graph databases hold numerous attractions for financial services users, among them the ability to detect hidden patterns in data that could be harder to spot otherwise. Some financial institutions are ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning.

Diffbot is a startup focused on using artificial intelligence to better provide companies information found on the internet. The core product is a knowledge graph they claim has mapped “over 10 ...

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.