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[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

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Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning

This repository contains the source code and datasets for the NeurIPS'24 paper "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

Paper Link: https://arxiv.org/abs/2409.17386

The overall framework:

InfoMGF Fig

Available Data

All the datasets can be downloaded from datasets link.

Place the 'data' folder from the downloaded files into the 'InfoMGF' directory.

Training

python main.py -dataset acm

Here, "acm" can be replaced by "dblp", "yelp","mag".

BibTeX

@inproceedings{shen2024beyond,
  title={Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning},
  author={Shen, Zhixiang and Wang, Shuo and Kang, Zhao},
  booktitle={Advances in neural information processing systems},
  year={2024}
}

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[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

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