This week, the Neo4j community has been busy with various articles and projects. Adam welcomes readers to Thanksgiving and thanks them for their engagement despite the holiday period. Featured community member Jeremy Grignard is highlighted for his work on Pegasus, a knowledge graph supporting early drug discovery. Manning announced the early access release of "Graph Algorithms for Data Science" by Tomaž Bratanič, a must-read for fans of Tomaz's articles. Clair Sullivan published an article on making FastRP graph embeddings work for specific problems and released part 16 in her Bite-Sized Neo4j for Data Scientist series. GraphXR was used to explore fraud rings, while Jim Webber and Antoine Larmanjat co-authored an article on resolving financial services challenges with Neo4j Aura on Google Cloud. Nathan Smith explained how to create a similarity graph using properties of a Neo4j Graph. Andreas Berger presented new features in 1.3 and 1.4 of the Neo4j-GraphQL-Java library, while a brand new course was released on GraphAcademy for building Neo4j applications with Node.js. Christophe Willemsen shared his thoughts on graph visualizations, styling, and presenting information.