Pengyi Li

Results 17 comments of Pengyi Li

`features = sp.identity(features.shape[0]) ` this code makes the input be a Diagonal identity matrix

Thanks again for your reply, which will be of great help . so if the features are unit matrix , the relationships between the doc and word are completely according...

Thank you very much for your reply. Because I just came into contact with GCN, I still lack understanding in some aspects.I'd like to ask a few questions which may...

Thank you very much,I read several articles about it carefully ,and I have read the code of FastGCN, but I feel that this code is just to cut the adj...

Sorry to bother you again, but I found a problem when I was training., if the feature is not an identity matrix, but adds the feature of words. During training,...

The reason for this , okay, is it the adj not match the feature, right? Or something else?

Ha, thank you very much for your reply, If I want to use inductive fastGCN ,and use textgcn code to build the adj and feature , should I change adj_train...

This means that I should use the load_corpus() function in text_gcn to replace the load_data and load_original_data() function in fastGCN ?

I am very sorry that I may not have clearly described my problem. Now I will elaborate on my problem: (1) first of all, when we design adj., adj. shape...

However, I got a good accuracy rate in my test on this condition whcih maybe don't use the relation and the test index may be not correct, which made me...