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 →
Gram is a textual format for data. We have CSV for tables, JSON for documents, and gram for data graphs.Use gram when [a,b,c] becomes (a)–>(b)<–(c).Why Another Data Format?Anything worth talking about is worth inventing a language for. — probably not L. WittgensteinGraphs are a… Read more →
Why a Cypher query run in the Neo4j Browser may not return in a reasonable amount of time, what is happening, and what you can do about it.Note: The content of this post is relevant to the Neo4j Browser version 4.2.0… Read more →
If you are researching graph databases, you may have been awed by the complex analysis it can handle or the simplicity that it allows for you to interact with your data. Read more →
While looking for efficient graph visualization libraries for large scale rendering, I came across 3d-force-graph, a really neat wrapper around three.js for graph visualization. Check out that repository after reading this, they have many more examples and settings to explore.I was… Read more →
As both a busy dad and the team lead of the Neo4j Drivers Team, the amount of spare time I’ve had to work on personal projects over the past couple of years has been somewhat reduced. But with all the… Read more →
In this post we explore how to create graph data visualizations that use the results of graph algorithms like PageRank and community detection. Read more →
A graph database stores its data as nodes and relationships each with type and attributes. That makes it easy to represent connected, real world information to find new insights in the data. Read more →
