A more handy way to use SPARQL data in your web app - D2KLab/sparql-transformer

Elixir Client for Gremlin (Apache TinkerPop™). Contribute to Revmaker/gremlex development by creating an account on GitHub.

Enables Users to Experience the World’s Fastest Graph Analytics Platform Designed to Unleash the Power of Interconnected Data for Deeper Insights and Better Outcomes

In this instalment of the QuickGraph series, I’ll show how to map a graph stored in Neo4j to an ontology (or schema, or vocabulary…) using the neosemantics extension.

Alethio’s data scientists dig into the Ethereum blockchain to identify the major players across the transaction network. Leveraging the…

Setting the Scene

Gremlin is one of the most popular query languages for exploring and analyzing data modeled as property graphs. There are many…

A number of industries and laboratories still rely upon relational database management systems for handling their data. But usually, raw data that they encounter is not structured. It is highly…

Cause getting your JSON-LD should be simple

Graph Examples on your Desktop

We demonstrate connecting a Neo4j graph database to Keras. We build a neural network achieving 100% test accuracy on a simple review…

We show how to create an embedding to predict product reviews, using the TensorFlow machine learning framework and the Neo4j graph…

What if yesterday’s database engines are not capable of solving today’s problems?

Watch (or read) Senior Project Manager Karen Lopez’s GraphConnect presentation on the signs that your data is actually a graph and needs a graph database.

Learn about the latest Neo4j APOC release which features new procedures that make it easy to load Excel spreadsheet data into Neo4j, as well graph grouping.

Watch the GraphConnect presentation by Dom Davis, cofounder of Tech Marionette, to discover the benefits of building a meta graph model for your domain.

Discover how Pypher allows you to tap into the power of the Cypher query language in order to use pure Python when querying connected data, making your Cypher code easier to wrangle and manage in the long run for either the Neo4j graph database or in any other Cypher-enabled graph technology.

Discover where big data visualization is going in the graph world, namely with the use of VR and 3D to analyze data faster.

Discover how the super nerdy math of graph theory and predictive modeling is also driving bottom-line business growth – including definitions and examples.

Discover the major differences and trade-offs between imperative and declarative query languages as we define and discuss the strengths and weaknesses of each.

Discover Neo4j Bloom, the latest product from the Neo4j team. This graph data visualization tool helps traditional Neo4j users communicate with their non-technical peers in a simple manner that reveals and explains the concepts of data connectedness for all people, regardless of technical background.

Discover how knowledge graphs are the key to delivering relevant search results, and how they are used for a wide range of use cases and industries.

Discover a new way to visualize and explore your connected data with SemSpect: a unique approach to graph visualization that doesn't depend on using random or best-guess Cypher queries in order to explore your data's meta-graph and that is compatible with Neo4j (including RDF datasets).

Discover why your organization is a knowledge graph is essentail to build a competitive advantage with a graph dabase and machine learning algorithms.

Explore everything that's happening in the Neo4j community for the week of 19 May 2018 including the release of Neo4j 3.4 and Neo4j is now available on Google Cloud Launcher. We also have the GQL proposal, a deep dive into the new DateTime data type, and more.