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I tried some my own datasets, some of them gave me good embeddings (the z), but some of my datasets are all NaN embeddings. I am wondering what causes this problem (like too many or too less edges or nodes?) and is there a way to fix that?
In the Dyrep paper, it seems that they do not need the whole [N_nodes*N_nodes] Adjacency Matrix for calculation, but it is required in your code. Is there a way to avoid that? Since it makes large networks impossible to be run.
Thank you!
The text was updated successfully, but these errors were encountered:
hello:
Can you send me a copy of the code environment if you run it successfully?
I didn't find an introduction to the code environment in readme file,and hope the author can make it up later
Hi, I have two questions:
I tried some my own datasets, some of them gave me good embeddings (the z), but some of my datasets are all NaN embeddings. I am wondering what causes this problem (like too many or too less edges or nodes?) and is there a way to fix that?
In the Dyrep paper, it seems that they do not need the whole [N_nodes*N_nodes] Adjacency Matrix for calculation, but it is required in your code. Is there a way to avoid that? Since it makes large networks impossible to be run.
Thank you!
The text was updated successfully, but these errors were encountered: