Interpolation can be considered as an inbounds search method where the interpolation only traverses latent space enclosed by known molecules. In addition, due to the use of slerp, POCs with shape persistence generated by this interpolation method are more likely to lie on the learnt manifold. Therefore, the spherical linear interpolation method is efficient while not overly restricting the sampling. The POCs obtained by interpolation are shown in Fig ). From the results, the interpolation can result in samples that are more likely to pass the filters from molecular validity to valid POC constructions and form shape-persistent POCs.