There is little difference between the Laplacian and normalised Laplacian pseudoinverses; both achieve better performance than the baseline B.
many of these measures are not amenable for use as kernel functions as they rely on properties which cannot be expressed as a vector inner product, such as the lowest common subsumer of two vertices.