Graphs are versatile tools for representing structured data. As a result, variety of machine learning methods have been studied graph data analysis. Although many such depend on the measurement differences between input graphs, defining an appropriate distance metric graphs remains controversial issue. Hence, we propose supervised method classification problem. Our method, named interpretable (...