ARGA
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GRAND-Lab
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adver...
Traceback (most recent call last): File "C:/Users/lily_bud/Desktop/ARGA-master/ARGA-master/ARGA/arga/run.py", line 3, in from clustering import Clustering_Runner File "C:\Users\lily_bud\Desktop\ARGA-master\ARGA-master\ARGA\arga\clustering.py", line 3, in from sklearn.cluster import KMeans File "C:\Python36\lib\site-packages\sklearn\__init__.py", line 134, in from .base...
Hi @Ruiqi-Hu, I see here https://github.com/Ruiqi-Hu/ARGA/blob/a970fa583d8c474b18f950da06bf91da03a647db/ARGA/arga/model.py#L67 you injected a Gaussian noise to the first layer. * What's the purpose of doing so? Based on the original implementation of GAE, https://github.com/tkipf/gae/blob/a1aecb00de894859f509f2d392135086a86946a0/gae/model.py#L55-L69...
Hi Ruiqi, Thanks for your nice work! I tried to run ARGA on weighted adjacency matrix (A) and non-binary features (X), but it seems didn't work. Do you have any...
I think the code is somehow disordered for two reasons: - set `dropout=0` right after `dropout=FLAGS.dropout` is meaningless - the updated `emb` should be returned rather than the untrained one
