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CODE OF 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions'

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MR-GNN

The source code of 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions', IJCAI 2019.

Table of contents

Requirements

Usage

If you want to repeoduce the experiment result of MR-GNN, please run the code "para_test9_coLSTM.py" and "para_test9_coLSTM_ddi.py".

pyhthon para_test9_coLSTM.py -g 0

References

BibTex:

@article{xu2019mr,
  title={MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions},
  author={Xu, Nuo and Wang, Pinghui and Chen, Long and Tao, Jing and Zhao, Junzhou},
  journal={Proceedings of IJCAI},
  year={2019}
}

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CODE OF 'MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions'

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