The Knowledge Graph concept, introduced by Google in 2012, has become a powerful tool for linking data points to gain better insights and develop new applications. The Clinical Knowledge Graph with proteomics data presented in a Nature article is an example of its potential. To build your own Knowledge Graph, you can use the tutorial "Build a Knowledge Graph using NLP and Ontologies". GraphConnect 2022 has been announced, and researchers are encouraged to submit their work on graph-related topics. The Neo4j community member Dana Canzano is recognized for her patience and humility in helping others, and her contributions have made a significant impact on many people's lives. Meanwhile, various tutorials and courses, such as "Journeys in Java, Level 1: Building an Empire of Microservices", "Building Neo4j Applications with Python", and "A Comprehensive Guide on Neo4j" are available to help developers learn about graph databases like Neo4j. Additionally, the Mann labs' Clinical Knowledge Graph has been developed to analyze clinical proteomics data, while Michael Hunger and Alexander Erdl showcased how to analyze NFT trades using Neo4j AuraDB in a recent episode of Discover AuraDB.