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‎README.md‎

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DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
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====
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This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
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## Requirements
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* Python 3.6.2
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* For the other packages, please refer to the requirements.txt.
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## Usage
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To run the demo:
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```sh run.sh```
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All scripts of different models with parameters for Cora, Citeseer and Pubmed are in `scripts` folder. You can reproduce the results by:
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```
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pip install -r requirements.txt
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sh scripts/cora_IncepGCN.sh
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```
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## References
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```
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@inproceedings{
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anonymous2020dropedge,
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title={DropEdge: Towards Deep Graph Convolutional Networks on Node Classification},
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author={Anonymous},
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booktitle={Submitted to International Conference on Learning Representations},
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year={2020},
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url={https://openreview.net/forum?id=Hkx1qkrKPr},
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note={under review}
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}
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```
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‎data/ind.citeseer.allx‎

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