/RAHG

Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.

Primary LanguagePython

RAHG

Official implementation of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs in the IEEE Transactions on Network Science and Engineering. RAHG

Requirements

  • torch==1.10.0
  • torch_geometric==2.0.0

Run

  • python main.py

Cite

  • If you are interested in our work and have used our codes in your research, please cite as follows:
@article{li2023rahg,
  title={RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs},
  author={Li, Kunhao and Huang, Zhenhua and Jia, Zhaohong},
  journal={IEEE Transactions on Network Science and Engineering},
  year={2023},
  publisher={IEEE}
}