Paper of the source codes released:

Chunyuan Yuan, Qianwen Ma, Junyang Chen, Wei Zhou, Xiaodan Zhang, Xuehai Tang, Jizhong Han, and Songlin Hu. Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification[C]//Proceedings of the 28th ACM International Conference on Multimedia. 2020: 3532-3540.

Dependencies:

Gensim==3.7.2

Jieba==0.39

Scikit-learn==0.21.2

Pytorch==1.6.0

Dataset

You can download the dataset from here: https://drive.google.com/drive/folders/1Pk3ZXxH7QRncu9-gUTa4G6d1DNOMcdcO?usp=drive_open .

Reproduce the experimental results:

1. create an empty directory: checkpoint/
2. run script run.py

Citation

If you find this code useful in your research, please cite our paper:

@inproceedings{yuan2020exploiting,
  title={Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification},
  author={Yuan, Chunyuan and Ma, Qianwen and Chen, Junyang and Zhou, Wei and Zhang, Xiaodan and Tang, Xuehai and Han, Jizhong and Hu, Songlin},
  booktitle={Proceedings of the 28th ACM International Conference on Multimedia},
  pages={3532--3540},
  year={2020}
}