How can I set RE-NET w. GT to reproduce experiment

[JuliaGast]

Hello,
In your paper, table 2 you are showing an interesting ablation study, where you show also RE-NET w. GT.
I would like to understand how, in the code, I can set this feeding of the GT.

As far as I understand, I would have to feed after each predicted timestep, the ground truth graph, instead of the predicted graph, before going to the next timestep, right?

Is there a configuration parameter to set? If yes: which one?

Or do I directly need to modify the code?
If yes, I assume somewhere in model.py predict() I would have to feed the gt_graph instead of the predicted graph, is this correct? and what exactly would I have to modify?

Looking forward to your reply
Kind Regards
Julia

[woojeongjin]

Yes you should feed the ground-truth graphs instead of predicted graphs.

[JuliaGast]

Thank you for your reply.

I assume I would have to feed the ground truth in model.py predict() at self.graph_dict[self.latest_time.item()] instead of:

Is this correct?
Are there any other modifications to be done?

[binchen4110]

Thank you for your reply.

I assume I would have to feed the ground truth in model.py predict() at self.graph_dict[self.latest_time.item()] instead of:

Is this correct? Are there any other modifications to be done?
The same question. Do you succeed?