The code seeems to lack discrete features and feature normalization?

[Gmrider13]

Hi, I encountered confusion when testing datasets with discrete node features.

For example, the node features in the Cora dataset are discrete and are normalized with a L1 norm (i.e., data.x.sum(dim=1) is 1 and all non-zero features have the same value for every node). Generally, features of injected nodes should be processed using the same data processing method. I noticed that there is a commented out code in line81 if backdoor.py, which makes the feature discrete. However, the feature is not normalized before being injected into the graph.

I use F.normalise(trojan_feat, p=1, dim=1) to normalize the features in line153, line214, and line241, but find that the attack is not successful.

May I ask if I missed any other factors? Thank you for your help.