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 ...

Synergy of Graph Data Management and Machine Learning in Explainability and Query Answering. Abstract: Graph data, e.g., social and biological networks, financial transactions, knowledge graphs, and ...

As 2022 dawns, knowledge graphs bear the dubious distinction of being at the epicenter of AI and machine learning for two reasons. One is that, unassisted, they are one of the myriad manifestations of ...

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

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 ...

Google amps up product data for shopping, while Google Cloud opens up a tool that makes easier work of artificial intelligence and machine learning.

Best Practices in What’s Ahead in AI, Machine Learning, and Knowledge Graphs Understanding, Knowing, and Connecting via Knowledge Graphs Knowledge graphs grant us new and different ways of visualizing ...