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https://github.com/vuptran/node-classification

Large-Scale Node Classification with PyTorch Geometric and Lightning
https://github.com/vuptran/node-classification

deep-learning graph-neural-networks node-classification node-embedding pytorch-geometric pytorch-lightning

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Large-Scale Node Classification with PyTorch Geometric and Lightning

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README

          

# 📘 Large-Scale Node Classification
Scalable node classification on millions of nodes and edges by leveraging PyTorch Geometric and Lightning. Train on a single GPU or multiple GPUs with benchmarks from the [OGB project](https://ogb.stanford.edu/docs/nodeprop/) using classical Graph Neural Networks like GraphSAGE and GAT.

## 🚀 Get Started
1. Refer to this [installation guide](https://github.com/vuptran/node-classification/tree/main/docs/installation).
2. Download and convert the [supported datasets](https://github.com/vuptran/node-classification/tree/main/data).
3. Run the example [training scripts](https://github.com/vuptran/node-classification/tree/main/scripts).

## ❤️ Acknowledgments
We are grateful for the open-source contributions from

* [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/)
* [PyTorch Geometric](https://github.com/pyg-team/pytorch_geometric)
* [tunedGNN [NeurIPS'24]](https://github.com/LUOyk1999/tunedGNN)