-
我們用loss來update encoder的參數而已嗎? discriminator需不需要update?
如果需要，要怎麼同時update encoder and discriminator?
如果不需要，要怎麼保證train出來的品質?
-
可以簡短的說這篇是graph版的GAN嗎? 差別在GAN的discriminator "看到的feature" 來自於整張image，而這篇的feature來自於patch representation(也就是2019 DIM這篇)。這樣比喻會不會太簡潔？少了什麼重點之類的?
-
Hi, thanks for you great work here!
I read the paper Deep Graph Infomax, DGI introduce a discriminator $D$ to maximize the mutual information. (Eq(1) in the paper). And it say this term should be max…
-
Hi, I am excited to see this work which implemented Deep Graph Infomax on Multiplex Network!
And I want to test ACM, DBLP, Amazon Dataset based on your code, can you provide these data sets and code …
-
### Describe the bug
We have some error messages that print a type. This is best done with `type(x).__name__` because printing `type(x)` directly shows the `repr` of a `type` object, which is weird…
huonw updated
4 years ago
-
### Describe the bug
Doing a sphinx build emits many warnings, a significant chunk of which are from the demos directory. (See #1154 for the general form that covers the non-demo warnings)
This …
huonw updated
4 years ago
-
## ❓ Questions & Help
-
Hi,
When I run infomax.py example I have the following error:
```
Train deep graph infomax.
Traceback (most recent call last):
File "infomax.py", line 91, in
loss = train_infomax(epoch)…
-
Hi, there. Thank you so much for this amazing library. I am trying to run the infomax code. This is the output after running infomax.py:
Train deep graph infomax.
Traceback (most recent call las…