Cannot reproduce best results about overlapping-community-detection HOT 3 CLOSED

Hi, thanks for your interest in our work.

The experiments in the paper have been done using the Tensorflow implementation, link to which you can find in README.md.

Regarding regularization: by default, the current version of the notebook uses a slightly different GCN implementation (called ImprovedGCN). This version doesn't use batch norm, and I empirically found it to work well with weight_decay = 1e-5.

The architecture described in the paper (and the one used in the original TF implementation) is based on vanilla GCN with batch normalization. For that model you should use weight_decay = 1e-2. To use the old architecture, you should uncomment the respective line in cell 5 of the notebook.
It should be possible to reproduce the results using the GCN architecture with weight_decay = 1e-2, since that is the architecture used in the paper.

To be completely honest, I haven't thoroughly tested the Pytorch implementation in this repository - I just created it in the process of learning Pytorch. I hope that I haven't introduced any serious bugs in the process of migrating from TF. Please let me know if you still reproduce the results using the vanilla GCN, and then I will have a look into the code.

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After fixing the bug that you mentioned in #2 everything seems to work as expected.

from overlapping-community-detection.

WOW, great!
Thanks for your work again

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