abhinab303

Yes, `outputs = weights_transpose * inputs * 3`. Do you know why it is multiplied by 3?

@jimmy-walker please also take a look at issue #21.

From model/code/train.py:  We can see that for training, all the nodes features are used. Which includes documents used for training, validation and test as well. But for calculating loss...

But if we really need to include unlabeled documents that won't be used for testing either, we need to change codes on model/code/utils.py and perhaps build_data.py(if we use this file...

> > But if we really need to include unlabeled documents that won't be used for testing either, we need to change codes on model/code/utils.py and perhaps build_data.py(if we use...

@bp20200202 I just remember that we also made one mistake of only using the **Titles** instead of **Description** for the **Agnews** Dataset. Maybe you are also using the **titles** only....

> Yes, it's so wired. How's your try?@abhinab303 Hi there, sorry for late reply. We tried changing that line. But the difference is not much (1% change in f1 score)....

Have you understood the code now? It seems that in paper, type-level attention is calculated followed by node-level. But in code it looks quite the opposite. Also, in node-level attention,...