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A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)

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I want to find the devices type in your code ,but I didn't find it .

I noticed that you regard the file `*.sampled.txt` as the ground truth. However, I noticed that some nodes may have more than one label. Could you please tell me why...

Dear, After running make.exe to compile the Makefile, this generates the magic.exe. Next I try to run 'python prepare_pretrain_embedding.py' which recognizes the subprocess.call('magic -i ...) but calling subprocess.call('python format_transform.py ...)...

sir why there is no com-amazon_final.f.txt file. This path is empty /src/PreTrain/community_detection ![image](https://user-images.githubusercontent.com/54536625/233773819-8f613a50-649a-4897-9e4c-92d783309ce8.png)

I noticed that it seems the given data only contain graph structures without node features. Can this model handle such situations?

This might be just my misunderstanding of the whole method, but is there any way to apply it on a weighted undirected graph instead of a unweighted one?

I really hope to find a solution. Thanks in advance

Hi there, I would like to double check whether the recommended numpy version(1.12.1) in GitHub is not right. Because it shows the error as below: ERROR: tensorflow 1.6.0 has requirement...

Dear Jia, I am utilizing your CommunityGAN method, but unclear about the way you evaluate the predicted communities in the validation set. In your paper, you said: _"We reserve 20%...