Crystal-LiuBojia / Graph-Transplant

Graph transplant: Node saliency-guided graph mixup with local structure preservation (AAAI 2022)

• main.py : Graph Transplant
• main_aug.py : dropN, permE, maskN, subG, M-evolve

@inproceedings{park2022graph,
  title={Graph transplant: Node saliency-guided graph mixup with local structure preservation},
  author={Park, Joonhyung and Shim, Hajin and Yang, Eunho},
  booktitle={Proceedings of the First MiniCon Conference},
  year={2022}
}

Acknowlegement

This work was supported by Institute of Information & Communications Technology Planning & Evaluation(IITP) grant funded by the Korea government (MSIT) (No.2019-0-01371, Development of brain-inspired AI with human-like intelligence)