Sharing GNN models through the Hugging Face Hub

[omarespejel]

Hi @weihua916 and snap team!

This and OGB projects are amazing. I see you host and share models in your repo. Would you be interested in sharing your models/datasets in the 🤗 Hugging Face Hub? At HF we want to collaborate with the GNNs community to promote open source knowledge in this area where your work is key 😀.

This integration would allow you to freely download/upload models, and make your work more accessible and visible to the rest of the ML community. We can help you set up a SNAP-Stanford organization (examples from other Stanford organizations within HF, Stanford CRFM, and Stanford NLP).

Creating the repos and adding new models should be a relatively straightforward process. This is a step-by-step guide explaining the process in case you're interested. Please let us know if you would be interested and if you have any questions.

Some of the benefits of sharing your models through the HF Hub would be:

• Presence in the HF Hub might lower the entry of barrier to SNAP Stanford users as well as increase its visibility.
  • Repos provide useful metadata about their tasks, languages, metrics, etc that make them discoverable
• versioning, commit history, and diffs.
• multiple features from TensorBoard visualizations, PapersWithCode integration, and more.

Additionally, we have a library to programmatically access repositories (both downloading pre-trained models and pushing, with a lot of nice things such as filtering, caching, etc). If we want to try out this integration, I would suggest you add one or two models manually and then use the huggingface_hub library to implement downloading those models programmatically from SNAP. You might want to check our documentation to read more about it.

Relevant references:

• Adding a model to the HF Hub.
• Integrate your library with the HF Hub.

Happy to hear your thoughts,

Omar and the Hugging Face team

cc @napoles-uach @osanseviero @abidlabs