Category: Neo4j

Feed: Neo4j Graph Database Platform. Author: Greta Workman, Marketing Coordinator. “Graph technology can be used in, for example, Chinese medicine, museum collection management, as well as knowledge graphs for copyright management. Those were all areas we never thought we would be touching,” said Richard Wu, co-founder of Beijing We-Yun Data Co.In this week’s 5-minute interview, we spoke to Graphie Award winner Beijing We-Yun Data Co. about the power of the graph database to store and correlate massive amounts of data easily, as well as the many areas where graph databases can be used. Company founders Richard Wu and George Zhang ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. Editor’s Note: This presentation was given by Corey Clawson at NODES 2019 in October 2019.Project GoalsThis project is an outgrowth of my graduate studies, which looked at archipelagic and archive studies, and analyzed what they have in common. Initial goals for this project included the following: Offer a means of considering/modeling artistic influence. Consider the cultural flows of concepts of sexuality and gender as well as artistic strategies. Map artistic communities’ formation via processes of migration and urbanization. Eventually, what I arrived at is that the connectedness and dispersion of those ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements.But how do companies today use graph databases to solve tough problems? In this blog series, we’ll cover the top 10 use cases for graph technology and for each we include a real-world example. This blog series continues with a look at using graph technology with knowledge graphs.The last blog in this series looked at the ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Hi everyone, Our video this week is an interview with NASA’s David Meza from Ashleigh Faith’s IsADataThing YouTube channel. Jesús Barrasa analyses the structured data of the White House website, Clair Sullivan imports data from Python, and I show how to use Speaker Listener Label LPA. And finally, Jack Collins createsPokémon teams using Neo4j and the Graph Data Science Library. Cheers, Mark and the Developer Relations team This week’s featured community member is Tom Swinkels. Tom Swinkels – This Week’s Featured Community Member Tom is a web developer at prepr.io, which ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. Editor’s Note: This presentation was given by Dr. Jim Webber at GraphTour Boston in 2019.Full PresentationIf there’s any area of computer science that’s prone to nonsense today, it’s artificial intelligence. I’m going to walk you through some no-nonsense definitions of AI-cronyms, share my history with graphs and intelligent applications, and take a little peek into the future of graph AI.A Bluffer’s Guide to AI-cronymsArtificial intelligence (AI) is the property of a system that appears intelligent to its users. Machine learning (ML) is a branch of artificial intelligence that analyzes historical data to guide ... Read More

Feed: Neo4j Graph Database Platform. Author: Jim Webber. Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements.But how do companies today use graph databases to solve tough problems? In this blog series, we’ll cover the top 10 use cases for graph technology and for each we include a real-world example. This blog series continues with a look at using graph technology with knowledge graphs.Last week’s blog addressed how graph technology can form the base ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Hi everyone, The big graph news of this week is the release of version 1.5 of the Graph Data Science Library. Alicia Frame and Amy Hodler give us the lowdown, including the first supervised machine learning algorithms in the library. In our video this week, Florent Biville shows us how to build our first Spring Data Neo4j 6 application. Jesús Barrasa creates a graph of English WordNet, Jennifer Reif shows how to use Neoj4 with GraalVM, and Michael Hermans demos Csharp Superstack. Cheers, Mark and the Developer Relations team This week’s featured ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. “The most surprising result was really seeing how connected the data was. I used to think that we knew this data really well when we looked at it individually from each different data stream, but when you combine them all together and you actually look at the datasets as a whole, it makes you realize that it’s like trying to solve a Rubik’s Cube by only looking at one side,” said Benjamin Squire, Senior Data Scientist at Meredith Corporation. In this week’s 5-minute interview, Benjamin Squire, Senior Data Scientist at Meredith Corporation ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. Just a few months ago, we announced graph-native machine learning in Neo4j with graph embeddings and an ML model catalog. Applying state-of-the-science machine learning for graphs was super exciting for many of you (and us!), and we’re thrilled about the creative applications the community has deployed. Today, we’re announcing our GDS 1.5 release, which brings you more of the features you love: new algorithms, more machine learning, and easier production deployment!In the latest release of the Neo4j Graph Data Science (GDS) Library, we’ve packed in a lot of features and enhancements – including ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. Editor’s Note: This presentation was given by Pat Brown and Karim Shehadeh at NODES 2019 in October 2019.Presentation SummaryIn this post, two of the members of Under Armour’s Engineering Advocacy Team, Pat Brown and Karim Shehadeh, discuss a recent project they worked on to help further non-engineers at the company better understand the product journey. Their solution was called an X-Ray Graph, which sits on top of various data sources and it makes it easy to search across the product catalog. X-Ray connects information from these data sources and pulls them into ... Read More