Making Hugging Face the place to go for Graph NNs datasets
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It will be indeed really great to add support to GNN datasets. Big :+1: for this initiative.
2022-03-07T06:44:46Z
https://github.com/huggingface/datasets/issues/3832#issuecomment-1060244833
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NONE
@napoles-uach identifies the [TUDatasets](https://chrsmrrs.github.io/datasets/) (A collection of benchmark datasets for graph classification and regression). 

Added to the Tasks in the initial issue.
2022-03-13T21:53:22Z
https://github.com/huggingface/datasets/issues/3832#issuecomment-1066189250
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Thanks Omar, that is a great collection!
2022-03-13T22:33:11Z
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CONTRIBUTOR
Great initiative! Let's keep this issue for these 3 datasets, but moving forward maybe let's create a new issue per dataset :rocket: great work @napoles-uach and @omarespejel!
2022-03-14T07:45:38Z
https://github.com/huggingface/datasets/issues/3832#issuecomment-1066472151
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Let's make Hugging Face Datasets the central hub for GNN datasets :)

**Motivation**. Datasets are currently quite scattered and an open-source central point such as the Hugging Face Hub would be ideal to support the growth of the GNN field.

What are some datasets worth integrating into the Hugging Face hub?

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

Special thanks to @napoles-uach for his collaboration on identifying the first ones:

- [ ] [SNAP-Stanford OGB Datasets](https://github.com/snap-stanford/ogb).
- [ ] [SNAP-Stanford Pretrained GNNs Chemistry and Biology Datasets](https://github.com/snap-stanford/pretrain-gnns).
- [ ] [TUDatasets](https://chrsmrrs.github.io/datasets/) (A collection of benchmark datasets for graph classification and regression)

cc @osanseviero 
