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Hi, I was wondering that the learned representations tend to conserve their unique information or common information. Maximizing Mutual information between patch and summary vector is to find more information between them, but the discriminator wants to distinguish the samples. So, I am confused.
The text was updated successfully, but these errors were encountered:
Thanks for your issue!
I think the key part here is that the discriminator distinguishes patches in the original from ones in a corrupted graph.
Pushing those apart will have as a consequence (see the Theorems proven in our work) a likely maximisation of mutual information within the vertices of the original graph.
Thanks for your issue!
I think the key part here is that the discriminator distinguishes patches in the original from ones in a corrupted graph.
Pushing those apart will have as a consequence (see the Theorems proven in our work) a likely maximisation of mutual information within the vertices of the original graph.
Hi, I was wondering that the learned representations tend to conserve their unique information or common information. Maximizing Mutual information between patch and summary vector is to find more information between them, but the discriminator wants to distinguish the samples. So, I am confused.
The text was updated successfully, but these errors were encountered: