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The code of the paper "Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement"

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To train a new model, run:

python train_MAGA.py

To test the trained model, run:

python test.py

The experiments are carried out on NVIDIA GeForce RTX 8000 GPU (40.0GB caches) and 11th Gen Intel(R) Core(TM) i7-11600KF @ 3.90GHz, 16.0GB RAM.

citation

@article{bian2024multi, title={Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement}, author={Bian, Jintang and Xie, Xiaohua and Lai, Jian-Huang and Nie, Feiping}, journal={Information Fusion}, pages={102393}, year={2024}, publisher={Elsevier} }

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The code of the paper "Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement"

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