This Week in Neo4j – More on GraphQL v2, A Focus on Graph Embeddings, and Recommendation Engines with Kafka

The article from Twin4j covers various topics related to graph databases, specifically Neo4j. It highlights the newly-released GraphQL library 2.0.0 and provides in-depth guides on three different graph embedding methods: FastRP, Node2Vec, and GraphSAGE. The article also explores creating recommendation engines, including a recent work by featured community member Sebastian Daschner, and discusses the popular podcast topic "Will it Graph?" which explores using graph databases as a general-purpose database within a larger ecosystem. Additionally, there are articles on building real-time recommendations with Kafka and Neo4j and a tweet of the week from TheTechromancer sharing his experience with importing and analyzing OSINT data in a Neo4j graph database.

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