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akgnn's Introduction

AKGNN

The source code for Adaptive Kernel Graph Neural Network at AAAI2022 (url: https://arxiv.org/abs/2112.04575).

Please cite our paper if you think our work is helpful to you:

@inproceedings{ju2022akgnn,
  title={Adaptive Kernel Graph Neural Network},
  author={Ju, Mingxuan and Hou, Shifu and Fan, Yujie and Zhao, Jianan and Ye, Yanfang and Zhao, Liang},
  booktitle={36th AAAI Conference on Artificial Intelligence (AAAI)},
  year={2022}
}

Requirements

  • Python 3.8.3
  • Please install other pakeages by pip install -r requirement.txt

Usage Example

  • Running on Cora: python train_cora.py
  • Running on Citeseer: python train_citeseer.py
  • Running on Pubmed: python train_pubmed.py

Results

Our model achieves the following accuracies on Cora, CiteSeer and Pubmed with the public splits:

Model name Cora CiteSeer Pubmed
AKGNN 84.8% 73.5% 80.4%

Running Environment

The experimental results reported in paper are conducted on a single NVIDIA GeForce RTX 2080 Ti with CUDA 11.1, which might be slightly inconsistent with the results induced by other platforms.

akgnn's People

Contributors

jumxglhf avatar

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