Kainan

> Hello author, I have read your paper and also tried to use Genius (https://github.com/qian-feng/Gencoding) to get the CFGs from PE samples. I ran the code in the preprocessing_ida.py of...

@20521862 I think it is quite clear as paper said: `it is one-hot encoded based on its function name and we limit the vocabulary size of external functions to 10,000...

@20521862 `10,000(external functions) that are most frequently used` Not saving the functions that were called 10,000 times, but taking the first 10,000 functions that were called the most times.

> reply to @KennenH and @Divine-sh : > > As we have described in Section IV.A.2) `For each node representing the external function in FCG, it is one-hot encoded based...

> > reply to @KennenH and @Divine-sh : > > As we have described in Section IV.A.2) `For each node representing the external function in FCG, it is one-hot encoded...