The power of Machine Learning for graph structured data is used more and more for HEP applications like particle tracking or jet analysis. We studied different ML tracking approaches (including GNN's) used in the TrackML and HEPTrkX challenges and used a simplified game model of Nine Men's Morris to study Graph ML using quantum algorithms. While the quantum implementation is motivated by academic interest and future performance preparations, the graph network analysis and ML on it is targeted for current analysis. In combination with visual analytics it is a powerful tool to understand and analyse humanitarian partnerships, collaborations and ecosystems that we studied and will present preliminary results. Further we will discuss some selected industrial applications we are currently exploring.