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.

Discover what's new in the Neo4j community for the week of 12 May 2018, including a hands on tutorial of Neo4j Bloom, a new release of Popoto – the visual query builder for Neo4j. We also learn how to build a personalised recommender as well as parse Neo4j’s query log.

NodeXL Graph Gallery, a collection of network graphs created by NodeXL.

Ontotext announces the release of GraphDB 8.5 – the latest version of its semantic graph database that is even more efficient and faster in loading, processing and updating vast amounts of data.

Ontotext’s GraphDB powers http://www.legislation.gov.uk and https://data.gov.uk/ and helps the service reach a larger public.

Polyglot Persistence at Netflix - Wednesday, March 14, 2018

The addition of multi-master write replication to Microsoft's Azure Cosmos DB plays catch up with the rest of the public cloud players, but other features move the managed database ahead of the com...

Neo4j tunes its graph engine for AI applications - SiliconANGLE

Connected Data London community cast. Michael Grove: Knowledge Graphs and Graph Databases have reached unprecedented levels of interest thanks to the efforts...