This Week in Neo4j: HealthECCO, Graph Algorithms in Rust, Nobel Prize, AWS Lambda, Python, IntelliJ, and More

Neo4j is being used in various applications to create graph data projections for analysis and machine learning. The company's Graph Data Science library allows developers to create an in-memory graph projection of data from Covidgraph, a biomedical graph by HealthECCO, and apply multiple algorithms for analysis and machine learning. Additionally, the company provides tutorials and resources on how to debug Spring Data Neo4j app connections and create knowledge graphs of recent Nobel Prizes in Physics, Chemistry, Medicine, and Literature. The company also hosts sessions and podcasts that cover topics such as graph analytics and knowledge graphs, including a presentation by Corey Lanum on presenting graph analytics in an easily understandable way. Furthermore, the company offers free resources and tutorials to help developers build modern applications with GraphQL.

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