Skip to content

Reproducing results of Figure 5 #2

@vinhsuhi

Description

@vinhsuhi

Thank you for your excellent work!

I have a question about reproducing the results shown in Figure 5. Specifically, regarding the "random" version: is the random transformation applied independently to each data sample during training, or is it applied consistently across the entire minibatch?

Currently, I apply random rotations within the __getitem__() function of the QM9 data loader. However, I haven't been able to reproduce the results reported in Figure 5.

Any guidance would be greatly appreciated!

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions