Ada-DyGNN: Robust Knowledge Adaptation for Dynamic Graph Neural Networks (TKDE 2024)

Introduction

This repository contains the code for paper: Robust Knowledge Adaptation for Dynamic Graph Neural Networks. This paper is accepted by TKDE 2024.

Datasets

Please refer to TGN and DyGNN for downloading the datasets.

Training

Train the model for the AUC evaluation

python trainAUC.py

Train the model for the MRR evaluation

python trainMRR.py

Citation

If you find our repo or paper useful, please cite us as

@article{li2022robust,
  title={Robust knowledge adaptation for dynamic graph neural networks},
  author={Li, Hanjie and Li, Changsheng and Feng, Kaituo and Yuan, Ye and Wang, Guoren and Zha, Hongyuan},
  journal={arXiv preprint arXiv:2207.10839},
  year={2022}
}

License

All code within this repository is under Apache License 2.0.