This Week in Neo4j – More on GraphQL v2, A Focus on Graph Embeddings, and Recommendation Engines with Kafka
By Clair Sullivan
August 21, 2021 5 mins read
Hello, everyone! For this week of Twin4j, we wanted to highlight a few different things. First, we get the chance to take an in-depth look at the newly-released GraphQL library 2.0.0. Next, we are dedicating most of this issue to… Read more →
Explore: Aura • FastRP • graph data science library • graph database • graph embeddings • GraphQL • GraphSAGE • Kafka • node2vec • Recommendation Engine
This Week in Neo4j – Web Applications with Neo4j and TypeScript, Neo4j Desktop Release, Graph Embeddings Tutorial
By Mark Needham
July 11, 2020 4 mins read
Hi graph gang, In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript. Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection… Read more →
Explore: fraud detection • graph data science • graph embeddings • low-code • nestjs • node2vec • spring boot • twin4j
This Week in Neo4j – Building a low-code platform, Beer Recommendations, Building A GRANDstack Real Estate Search App
By Mark Needham
June 20, 2020 4 mins read
Check out this week in Neo4j: building a low-code platform, real-time recommendation engines for beer and building a GRANDstack real estate search app.
Explore: beer graph • collaborative filtering • Dr. Alexander Jarasch • low-code • node2vec • Recommendation Engine • twin4j