When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships between ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Emil Eifrem, co-founder and CEO at Neo4j. He writes on why he thinks graph ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Get the latest federal technology news delivered to your inbox. If you google “Biden + White House” and click the Image tab, you’ll see lots of photos of the President speaking or hosting guests ...

A British ‘tech bio’ start-up, Basecamp Research, says the combination of machine learning, public datasets, and a graph-based Knowledge Graph from Neo4j is proving critical to its mission of helping ...

With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Graph-Tech USA (GTUS) is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. Traditional ...