The implementation for the paper "Propagation Structure-aware Graph Transformer for Robust and Interpretable Fake News Detection"

Installation

We have tested our code on a Linux system equipped with Python 3.10, PyTorch 1.13.1, PyG 2.2.0 and CUDA 11.7.

Dataset

Since the dataset is too large, we provide the raw and processed data in: https://drive.google.com/drive/folders/1ZoCzpBcl5UIdmhKV1Q2eo6kzi5Ch_rz1?usp=sharing

After downloading the data, one can place it in the data directory.

Run Examples

cd gnn_model
python PSGT

Citation

If you find this work useful, please cite our KDD 2024 paper:

@inproceedings{zhu2024propagation,
  title={Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection},
  author={Zhu, Junyou and Gao, Chao and Yin, Ze and Li, Xianghua and Kurths, Juergen},
  booktitle={Proceedings of the 30th ACM SIGKDD international conference on knowledge discovery \& data mining},
  pages={4652--4663},
  year={2024}
}