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It appears to be a matrix multiplication involving weights. However, I'm having difficulty correlating this operation with the visual representation in the provided image from the paper:
Could you please provide me some clarification on this?
The text was updated successfully, but these errors were encountered:
gonzalesMK
changed the title
Question: No graph convolution in the encoder in the paper
Question: Matrix multiplication in the DrBC
Jan 19, 2024
Hello!
I've carefully reviewed both your paper and code, and I want to commend you on the excellent work.
I am seeking clarification on a specific aspect, if you would be so kind.
In reference to this specific line of code: https://github.com/FFrankyy/DrBC/blob/b8a84db280e941d27484e338cbfc736774f6a5a6/BetLearn.py#L157C1-L157C58
node_linear = tf.matmul(n2npool, p_node_conv)
It appears to be a matrix multiplication involving weights. However, I'm having difficulty correlating this operation with the visual representation in the provided image from the paper:
Could you please provide me some clarification on this?
The text was updated successfully, but these errors were encountered: