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devnkong / FLAG

Official implementation of our FLAG paper (CVPR2022)

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Augmentation types

Xiaoyang-Rebecca opened this issue · comments

commented

Hi,
I was wondering if rotation and transformations are the only 2 types of augmentations that applied in your pipeline.

FLAG/deep_gcns_torch/utils/data_util.py

Line 76 in 7e48d91

def random_points_augmentation(points, rotate=False, translate=False, **kwargs):

Have you tried other augmentation transformations?

commented

Hi Xiaoyang,

Actually these augmentations were implemented by the DeepGCN paper and never used in our work.
All of our augmentations are implemented here: https://github.com/devnkong/FLAG/blob/main/ogb/attacks.py

Let me know if you have other questions.