some question about the structure about sgc

[Tiiiger]

Hi there,

I don't think I understand your questions. What is a Bp neural network?

[LinzzMichael]

Maybe I didn't make myself clear,I just confuse that this model is just a linear transfer, so I can't not quiet understand why it is a graph convolution network.

[Tiiiger]

I believe your understanding is correct. it is just a linear classifier : ) but that's the point, in section 2 of our paper we show that SGC is essentially a logistic regression model trained on propagated features. I would recommend going over section 2.

closing now. but let me know if you have further questions.

[LinzzMichael]

ok,maybe I need to read the paper again, thank you for reply

[LinzzMichael]

I have another question, where is the implementation of the equation S = D~ − 1 2 A~ D~ − 12 in the code, and what the meaning of 'adj + adj.T.multiply(adj.T > adj) - adj.multiply(adj.T > adj)'?

[Tiiiger]

You may check https://github.com/Tiiiger/SGC/blob/master/normalization.py#L16

Re: 'adj + adj.T.multiply(adj.T > adj) - adj.multiply(adj.T > adj)'
this is simply making the adjacency matrix symmetric.