a little problem about results

[chenbofeng123]

hi,sorry to interrupt you again~
we can see you get a so big improvement on amazon dataset !
i run your code on amazon dataset , and search parameters as your paper said "α; β; from 0:0001; 0:001; 0:01; 0:1".
but i am sad i can not get a comparable result as your paper. some details is below:
nmi: my best result is 0.2858 | 0.2954 for DMGI-att and DMGI. your paper is 0.412 and 0.425
macro | micro : my best result is 0.7426 | 0.7462| 0.7380| 0.7414 for DMGI-att and DMGI. your paper is
0.758 | 0.758 | 0.746 | 0.748. We can see my result is very close to you .
sim: my best result is 0.820 and 0.809 for DMGI-att and DMGI. , your paper is 0.825 and 0.816 . we can see my result is also very close to you .

so i am very confused about the performance about the metric nmi. do you meet the same problem or can you give me some suggestions?

[chenbofeng123]

can you get a comparable result (nmi on amazon dataset)on your computer ?

[Mrxiahelong]

I also meet a same problem, the acm's nmi is 0.5806 which is much lower than the result in papers

[yoiscarlet]

I also meet a same problem, the acm's nmi is 0.5806 which is much lower than the result in papers

me too, the best acm's nmi of mine is 0.5886