Fig. 2

An illustration of the proposed method and challenges which we aim to overcome. a Learning transfer operators using graph kernels, where \(k(\cdot , \cdot )\) is a graph kernel and \({\mathcal {K}}_k\) is the Koopman operator. b In the learned embedding space it is possible to detect metastable states and to determine distinct substructures