GRADE

An implementation for "Non-IID Transfer Learning on Graphs" (AAAI'23).

Environment Requirements

The code has been tested under Python 3.6.5. The required packages are as follows:

• numpy
• torch
• torchvision
• dgl

Data Sets

We used the following data sets in our experiments:

• Airport Networks
• Citation Networks
• Amazon Review Data

Acknowledgement

This is the latest source code of GRADE for AAAI-2023. If you find that it is helpful for your research, please consider to cite our paper:

@inproceedings{wu2023noniid,
  title={Non-IID Transfer Learning on Graphs},
  author={Wu, Jun and He, Jingrui and Ainsworth, Elizabeth},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={37},
  number={9},
  pages={10342--10350},
  year={2023}
}