Open akastrin opened 4 years ago
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
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:
I explicitely set embedding size to 128, however the resulting size is 158. Could somebody please explain why?
Thanks, Andrej