Sorry for bothering. I have some problems when I try to use your given NAS examples for semi-supervised node classification.
For example, I tried to run the file: gasso_test.py, all the parameters are default, but I got the accuracy 0.8150. Clearly, it's too low, compared with the accuracy you have given in the GASSO paper.
So I have checked the hyper-parameters you provide in the appendix, but I found no mistakes.
I do not know what leads to the situation. Thanks a lot if you can provide me some solutions.
Sorry for bothering. I have some problems when I try to use your given NAS examples for semi-supervised node classification.
For example, I tried to run the file: gasso_test.py, all the parameters are default, but I got the accuracy 0.8150. Clearly, it's too low, compared with the accuracy you have given in the GASSO paper.
So I have checked the hyper-parameters you provide in the appendix, but I found no mistakes.
I do not know what leads to the situation. Thanks a lot if you can provide me some solutions.