There's a wealth of fine content and varied perspectives on graphs in this week's newsletter, including articles on transferring unstructured text into knowledge graphs, analyzing data for ML projects with Neo4j, the uses of graph databases in cybersecurity, and Kubernetes deployment with the Neo4j Helm chart. The newsletter also explores how knowledge graphs can represent domains of knowledge, and discusses using Neo4j to analyze COVID-19 treatments and discovering new treatments by combining multiple domain graphs. Additionally, it covers the ability of knowledge graphs to transform unstructured text inputs into a useful knowledge graph through an information extraction pipeline, demonstrates ML on graphs with Neo4j and Python, and showcases how Neo4j can be used for cybersecurity and Kubernetes deployment.