This talk has two parts. In the first part, we study the existence of Monge maps as optimizer of the standard Gromov-Wasserstein problem for two different costs in euclidean spaces, in two important cases. The second part of the talk presents how to use sum of squares in RKHS to design computationnally efficient statistical estimators of smooth optimal transport.