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I wrote about cypher’s MERGE function a couple of weeks ago, and over the last few days, I’ve been exploring how it works with schema indexes and unique constraints.
There is so much that could be said about the merging of Neo4j and Cypher right now, but it is certainly reasonable to point out that this merger will likely result in many exciting developments in the programming world.
It’s been almost two years since the release of the Neo4j Graph Algorithms library, which allowed developers to run algorithms like PageRank, Louvain Modularity, and Weighted Shortest Path on their graph data.
We presented our initial efforts building the Neo4j Euler (NEuler) Graph App (aka the Graph Algorithms Playground) in episode 54 of the Neo4j Online Meetup and showed how the app could be used to analyze the Game of Thrones universe.
Graph algorithms provide the means to understand, model, and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups.
This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop intelligent solutions faster using a graph database like Neo4j.
Six months ago, Tomaz Bratanic wrote a great post showing how to build an article recommendation engine using NLP techniques and the Personalized PageRank algorithm from the Graph Algorithms library.
In the post, Tomaz extracts keywords for each article using the GraphAware NLP library and then runs PageRank in the context of articles based on these keywords.
Last week, Lju and I presented part 1 and part 2 of the BBC Good Food What's Cooking? series as part of the Neo4j Online Meetup, and during the talk, we received some great questions about the graph model we'd come up with.
In case you haven't seen the video or read the first two posts, below is an example of the data that we have for each recipe.
My colleague, Lju, started off a series of posts showing how to import the BBC Good Food dataset into Neo4j. Lju also shows how to query the dataset to find recipes written by the same author.
In this post, we're going to continue from where Lju left off and explore the dataset a bit more. Imagine that we have some chilis and want to find some recipes that will make use of them.