citation-prediction

Prerequisites

• Linux
• Python 3.7
• PyTorch 1.10.0+cu111

Getting Started

Installation

Clone this repo.

git clone https://github.com/THUDM/citation-prediction.git
cd citation-prediction

Please install dependencies by

pip install -r requirements.txt

Dataset

We provide two datasets for author citation prediction. The one is to predict author citations is 2016 and another is to predict author citations in 2022. The two datasets contain different authors. The datasets can be downloaded from BaiduPan with password g5uk or data-2016 & data-2022. Please put the data folder into the project directory.

How to run

cd $project_path
export CUDA_VISIBLE_DEVICES='?'  # specify which GPU(s) to be used

# processing: set pred_year = 2016/2022 in process.py
python process.py   

# ARIMA: set pred_year = 2016/2022 below __main__ function
python arima.py

# regressor: set pred_year = 2016/2022 below __main__ function
python regressor.py

# LSTM: set pred_year = 2016/2022 below __main__ function
python lstm.py

# EvolveGCN
cd evolvegcn
python run_exp_inf.py --config_file ./experiments/parameters_inf_2016.yaml
python run_exp_inf.py --config_file ./experiments/parameters_inf_2022.yaml

Results

Evaluation metrics: RSME

	2016	2022
ARIMA	1225	23920
LR	562	22057
GBRT	553	21777
LSTM	1034	25409
EvolveGCN	969	22841

References

🌟 If you find our work helpful, please leave us a star and cite our paper.

@inproceedings{zhang2024oag,
  title={OAG-bench: a human-curated benchmark for academic graph mining},
  author={Fanjin Zhang and Shijie Shi and Yifan Zhu and Bo Chen and Yukuo Cen and Jifan Yu and Yelin Chen and Lulu Wang and Qingfei Zhao and Yuqing Cheng and Tianyi Han and Yuwei An and Dan Zhang and Weng Lam Tam and Kun Cao and Yunhe Pang and Xinyu Guan and Huihui Yuan and Jian Song and Xiaoyan Li and Yuxiao Dong and Jie Tang},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={6214--6225},
  year={2024}
}