Graphs are ubiquitous, they form a language for describing entities and their interactions. They are emerging as a powerful data analytic tool for addressing difficult real-world problems and more recently graph representation learning has revolutionized AI and modern data science tasks. In Optum, we were aiming to investigate the marriage of graph DBs (Knowledge graphs) along with the state-of-the-art Graph ML(e.g. GNN) models for addressing challenging healthcare related problems such as fraud detection.