You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi fanyun,
Thanks for sharing the code. I have several question here
after acquiring the estimated community membership embedding new_z, according to the paper, shouldn't we calculate the softmax p(c|z=j), what's the meaning of decoder? To approximate the calculation?
no lr decay found in nonoverlap.py; did you use it when training like CORA for nonoverlap community detection?
The text was updated successfully, but these errors were encountered:
Hi, for the first question, I think new_z comes from the sampling of distribution q(z|w, c). But it is expressed in the form of embeddding. The function of decoder is to obtain p(c|z), where z~q(z|w, c), but p(c|z) is not normailzed.
I have the same doubts about the second question.
Hi fanyun,
Thanks for sharing the code. I have several question here
new_z
, according to the paper, shouldn't we calculate the softmax p(c|z=j), what's the meaning ofdecoder
? To approximate the calculation?CORA
for nonoverlap community detection?The text was updated successfully, but these errors were encountered: