In a previous paper, we introduced MAP-Elites to molecular optimisation by dividing small-molecule chemical space into a grid of niches based on physicochemical properties. In that paper, we combined MAP-Elites with the graph-based molecular representation, mutations, and crossovers from GB-GA. This novel algorithm, which we called graph-based elite patch illumination (GB-EPI) , solved the stagnation issues seen in GB-GA while simultaneously improving search efficiency and producing a larger diversity of high-performing, yet qualitatively different molecules. The resulting multi-dimensional archive is filled with locally elite molecules, providing a comprehensive overview or illumination of the fitness potential of the explored parts of chemical space.