This is the source code of WWW-2022 paper "Towards Unsupervised Deep Graph Structure Learning" (SUBLIME).
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
cd scripts
[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
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}
}