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A Flexible Generative Framework for Graph-based Semi-supervised Learning
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LICENCE
README.md
__init__.py init Sep 13, 2019
environment.yml init Sep 13, 2019
main.py
models.py init Sep 13, 2019
utils.py init Sep 13, 2019

README.md

G3NN

This repo provides a pytorch implementation for the 4 instantiations of the flexible generative framework as described in the following paper:

A Flexible Generative Framework for Graph-based Semi-supervised Learning

Jiaqi Ma*, Weijing Tang*, Ji Zhu, Qiaozhu Mei. NeurIPS 2019.

(*: equal contribution)

Requirements

See environment.yml. Run conda torch_env create -f environment.yml to install the required packages.

Run the code

Example: python main.py --model lsm_gcn --dataset cora

Cite

@article{ma2019flexible,
  title={A Flexible Generative Framework for Graph-based Semi-supervised Learning},
  author={Ma, Jiaqi and Tang, Weijing and Zhu, Ji and Mei, Qiaozhu},
  journal={arXiv preprint arXiv:1905.10769},
  year={2019}
}
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