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CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering

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CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering

An implementation of the CIKM'23 paper: Homophily-enhanced Structure Learning for Graph Clustering.

Installation

# Install python>=3.8.

# Install dev requirements:
$ bash .ci/install-dev.sh

# Install requirements.
# Cuda defaults to 11.3. Change it if necessary.
$ bash .ci/install.sh

Usage

# Activate the env, e.g., for linux run:
$ source .env/bin/activate

# Run HoLe:
$ python main.py --dataset Cora --gpu_id 0

Citation

Please cite our paper if you use this code in your own work:

@inproceedings{gu2023homophily,
  title={Homophily-enhanced Structure Learning for Graph Clustering},
  author={Gu, Ming and Yang, Gaoming and Zhou, Sheng and Ma, Ning and Chen, Jiawei and Tan, Qiaoyu and Liu, Meihan and Bu, Jiajun},
  booktitle={Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
  pages={577--586},
  year={2023}
}

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CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering

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