https://github.com/TrustAGI-Lab/SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning
https://github.com/TrustAGI-Lab/SUBLIME

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[WWW'22] Towards Unsupervised Deep Graph Structure Learning

• Host: GitHub
• URL: https://github.com/TrustAGI-Lab/SUBLIME
• Owner: TrustAGI-Lab
• License: mit
• Created: 2021-10-21T10:20:26.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-30T07:02:18.000Z (about 2 years ago)
• Last Synced: 2025-01-21T18:48:59.276Z (about 1 month ago)
• Language: Python
• Homepage:
• Size: 6.21 MB
• Stars: 133
• Watchers: 2
• Forks: 25
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Towards Unsupervised Deep Graph Structure Learning

This is the source code of WWW-2022 paper "[Towards Unsupervised Deep Graph Structure Learning](https://arxiv.org/pdf/2201.06367.pdf)" (SUBLIME). 

![The proposed framework](pipeline.png)

## REQUIREMENTS

This code requires the following:

* Python==3.7

* PyTorch==1.7.1

* DGL==0.7.1

* Numpy==1.20.2

* Scipy==1.6.3

* Scikit-learn==0.24.2

* Munkres==1.1.4

* ogb==1.3.1

## USAGE

### Step 1: All the scripts are included in the "scripts" folder. Please get into this folder first.

```

cd scripts

```

### Step 2: Run the experiments you want:

\[Cora\]Node classification @ structure inference:

```

bash cora_si.sh

```

\[Cora\]Node classification @ structure refinement:

```

bash cora_sr.sh

```

\[Cora\]Node clustering @ structure refinement:

```

bash cora_clu.sh

```

\[Citeseer\]Node classification @ structure inference:

```

bash citeseer_si.sh

```

\[Citeseer\]Node classification @ structure refinement:

```

bash citeseer_sr.sh

```

\[Citeseer\]Node clustering @ structure refinement:

```

bash citeseer_clu.sh

```

\[Pubmed\]Node classification @ structure inference:

```

bash pubmed_si.sh

```

\[Pubmed\]Node classification @ structure refinement:

```

bash pubmed_sr.sh

```

## Cite

If you compare with, build on, or use aspects of SUBLIME framework, please cite the following:

```

@inproceedings{liu2022towards,

  title={Towards unsupervised deep graph structure learning},

  author={Liu, Yixin and Zheng, Yu and Zhang, Daokun and Chen, Hongxu and Peng, Hao and Pan, Shirui},

  booktitle={Proceedings of the ACM Web Conference 2022},

  pages={1392--1403},

  year={2022}

}

```