Embedding size with embedding.deepgl

[akastrin]

Hi,

I try to figure out how to properly set the number of desired features with embedding.deepgl algorithms. Currently, my setup goes as follows:

CALL
embedding.deepgl(
    null,
    null,
    {
         pruningLambda: 0.6,
         diffusions: 3,
         iterations: 3,
         embeddingSize: 128
    }
)

I explicitely set embedding size to 128, however the resulting size is 158. Could somebody please explain why?

Thanks, Andrej