A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

SAN FRANCISCO, Oct. 11, 2023 — ArangoDB, a company behind the most complete and scalable graph data and analytics platform, announced the GA release of ArangoGraphML, a fully managed and intuitive ...

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 neural ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

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 ...

Bob van Luijt's career in technology started at age 15, building websites to help people sell toothbrushes online. Not many 15 year-olds do that. Apparently, this gave van Luijt enough of a head start ...

LONDON--(BUSINESS WIRE)--Relation Therapeutics, the pioneer of drug discovery using active-graph machine learning (ML) combined with single-cell analysis and deep clinical insights, announced today ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...