This week, Neo4j highlights the work of several community members who have made significant contributions to the platform. Rajesh Gaddipati and Vishal Kachave presented at the API Summit 2021 on "The Role of GraphQL in Emerging Technologies," comparing graph databases with relational databases and demonstrating the benefits of using a GraphQL API with Neo4j. Meanwhile, Lju Lazaravic and Alex Erdl have started a weekly series where they walk through how to model a particular dataset and create a graph in AuraDB Free. Will Lyon has posted a tutorial on building a GraphQL Server with Next.js and Vercel, while Marco Del Coco used Hume to create an image recognition application. Tomaz Bratanic uses both the Neo4j Data Science Library and KarateClub to create node embeddings for graph analysis, and Michael Simons released tooling for migrating a Neo4j instance that is embedded in your Java application. The community members also share their work on Twitter, with Lynn Chiu's tweet about using Neo4j to analyze citation clusters gaining popularity.