qitianwu / graphood-eerm Goto Github PK

Dear EERM authors,

Thanks for sharing the code of this project. I really enjoy reading the paper!

There might be one spot that I misunderstand in your implementation and it would be really helpful if you could explain this line of code.

My question lies in this line: shouldn't this line be ""m == args.T - 1"", as indicated in the Algorithm 1 in the paper.

I think the current implementation will not utilize the learned multiple environments (i.e., the parameter with shape K x N xN in the graph editor class) at all as the GNN will be updated before the graph editor does. And every time a new epoch starts the graph editors get reset.

Thanks in advance!

Hi, qitian, when I download the cora dataset in "gen" folder and I found that all "gcn" initialized data features only correspon to 9 number of classes, while the 'gat' and 'sgc' have 10 number of classes. Could you please make a double check and maybe upload the right feature transformed data please?

Thanks for your kind help.