Grouper: symmetry-aware functional-group graph representations for generative exploration of chemical space
The vastness of chemical space holds immense potential for discovery, yet its systematic exploration remains computationally daunting. We mitigate this complexity by focusing on chemically meaningful differences captured by functional-group motifs and collapsing symmetry-equivalent configurations. We operationalize t...