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GraphHop
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GraphHop
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# GraphHop: An Enhanced Label Propagation Method for Node Classification This respository contains the PyTorch implementation of GraphHop for the task of semi-supervised classification of nodes in a graph, as described in our paper: Tian Xie, Bin Wang, C.-C. Jay Kuo, GraphHop: An Enhanced Label PropagationMethod for Node Classification. [[paper]](https://arxiv.org/abs/2101.02326) ## Dependencies * torch == 1.5.0 * numpy == 1.18.1 * scipy == 1.4.1 * [pytorch geometric](https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html) ## RUN ``` sh run_model.sh ``` You may change the hyperparameters inside the shell script. ## Citation If you are use this code for your research, please cite our paper. ``` @ARTICLE{9737682, author={Xie, Tian and Wang, Bin and Kuo, C.-C. Jay}, journal={IEEE Transactions on Neural Networks and Learning Systems}, title={GraphHop: An Enhanced Label Propagation Method for Node Classification}, year={2022}, volume={}, number={}, pages={1-15}, doi={10.1109/TNNLS.2022.3157746}} ```
