Graph Augmentation

Hi all,
Does DGL have any support for augmentation of datasets? does anyone have any literature on augmentation that improves performance? any assistance would be appreciated.

Many Thanks,
Chris

Here is a list of related papers:

Data Augmentation for Graph Neural Networks
Graph Contrastive Learning with Augmentations
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Semi-supervised learning on graphs with generative adversarial nets
SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling

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