How is the information propagated in the process of pooling?

[madkn]

As I understood, in the encoders' forward of the reconstruction model, pooling operation only preserves features of the predefined (by the transform.pkl file) vertices. Since there is no averaging or maxing out, how is the information from the neighboring vertices propagated into downsampled representations of the mesh? By participating in the convolutions before poolings only?

Thank you!