In a previous blog, I loaded 197M chemical names into a graph database. All of these are indexed with a full-text index and use the graph properties to improve the search. In order to test the user experience (not just… Read more →
Neo4j Bloom is an advanced graph exploration tool. You can display different Neo4j graphs and explore graph data using the search feature, expanding it visually or by using custom Cypher queries.Photo by Shane Scarbrough on UnsplashBut now we’ve added a new feature… Read more →
Find out how Wardley Maps can be analyzed in Neo4j Graph Database to find the hidden knowledge in these maps. Read more →
With Autumn in full swing, we have a few new features in Neo4j Bloom to call out that make graph data visualization and exploration even easier and more intuitive.Let’s start by introducing this neat little trick for anyone getting started… Read more →
As graph databases and graph data is getting more traction in the world the need for specialized graph powered visualization tools to provide feedback to end users is needed.A variety of tools are already available to visualize force-directed graphs but as… Read more →
We’re really excited and looking forward to our annual online developer conference NODES 2022 on November 16 and 17.The event will run around the globe with talks in all time zones.You can save your spot now by registering early for some of… Read more →
Data Importer’s latest release 0.5.0 brings exciting improvements that make graph modeling and mapping smoother through a visual preview. Read more →
Knowing your users is vital to any business. When your users can interact with each other on a social media platform, content sharing platform, or even work-related platforms, you can construct a network between your users based on their interactions and extract graph-based features to segment your users. Of course, these same approaches can be applied to other platforms that are not user-centric. Read more →
How to extract actionable insights in supply chains in minutes using Neo4j GDS and Bloom to visualize operational load and regional patterns. Read more →
In this week's Discover AuraDB Free, we used a subset of a published NFT Trades dataset to model, import, and analyze the transactions. Read more →
Next to a neat graph visualization, tables or traditional charts are an immensely powerful way to make your data visible. Put this all together in an interactive dashboard, and you’ve got an amazing way to tell a graph story. Read more →
Learn how to integrate graph data visualizations into no-code workflows easily with the latest version of Neo4j Bloom 2.0. Read more →
Register for a week of live, hands-on training, from writing your first graph database query to using ML to build a knowledge graph. Read more →
In this post, I’d like to go over a number of the key changes from the past two versions of Bloom, and discuss how they might be helpful to analysts and data scientists, as well as developers involved in these specialties. Read more →
Learn how to efficiently fetch and process big data using a reactive approach for our large scale data visualization tool Neo4j Bloom. Read more →
Check out NeoDash 1.1, which comes with a ton of new features to make your dashboards more dynamic, structured, and exciting. Read more →
At Cylynx, we build tools and solutions to help financial crime investigators connect the dots between their data points. This calls for a custom graph application to provide additional time series and investigative functionalities. Building a connector to Neo4j was… Read more →
Visualizing graphs is hard. When I started working with graph data, I realized it takes significant work to create intuitive graph visualizations. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.In this article, I’m zooming… Read more →
Want to dabble in graphs with family and friends? Not quite sure where to start? How about a quick and dirty trick using Google Forms, Google Sheets and a Neo4j Sandbox? Read more →
Create graphs with gram then share them on ObservableHQ, or use d3-gram to render graphs to SVG anywhere.Gram makes writing graphs as easy as (a)–>(b)<–(c). But then what? Well, graphs are eminently visual data structures. Naturally, we could visualize them… Read more →
Working at Neo4j, I frequently build front-end applications that use graph data. Fortunately, a ton of tools exist to make the life of a Neo4j front-end developer easier (great examples are the GrandStack and Neode). In many cases, however, I’m… Read more →
The latest version of Neo4j Bloom, 1.5, came out this month. In this release, we see some exciting new features, as well as improvements to functionality and performance. Let’s check them out! Read more →