@@ -146,14 +146,19 @@ Papers are listed in the following methods:graph clustering, NMF-based clusterin
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34 . NN 2022: Multi-view Graph Embedding Clustering Network:Joint Self-supervision and Block Diagonal Representation(MVGC)[ <a href = " https://www.sciencedirect.com/science/article/pii/S089360802100397X " target =" _blank " >Paper</a >] [ <a href =" https://github.com/xdweixia/NN-2022-MVGC " target =" _blank " >Code</a >]
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+ 35 . IPM 2023: Joint Contrastive Triple-learning for Deep Multi-view Clustering(JCT)[ <a href = " https://www.sciencedirect.com/science/article/abs/pii/S0306457323000213 " target =" _blank " >Paper</a >] [ <a href =" https://github.com/ShizheHu/Joint-Contrastive-Triple-learning " target =" _blank " >Code</a >]
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+ 36 . 2023: Tensorized Adaptive Deep Multi-view Subspace Clustering[ <a href =" https://github.com/YanghangZheng-GDUT/Tensorized-Adaptive-Deep-Multi-view-Subspace-Clustering " target =" _blank " >Code</a >]
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### <span id =" jump24 " >Deep Incomplete Multi-view Clustering</span >
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- 1 . NeurIPS2019: CPM-Nets: Cross Partial Multi-View Networks [ Paper] ( https://papers.nips.cc/paper/2019/file/11b9842e0a271ff252c1903e7132cd68-Paper.pdf ) [ code] ( https://github.com/hanmenghan/CPM_Nets )
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- 2 . TIP2020: Generative Partial Multi-View Clustering [ paper] ( https://arxiv.org/abs/2003.13088 ) [ code] ( https://github.com/IMKBLE/PVC-GAN )
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- 3 . CVPR2021: COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction [ Paper] ( http://pengxi.me/wp-content/uploads/2021/03/2021CVPR-completer.pdf ) [ code] ( https://github.com/XLearning-SCU/2021-CVPR-Completer )
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- 4 . TIP2021: iCmSC: Incomplete Cross-modal Subspace Clustering [ paper] ( https://ieeexplore.ieee.org/abstract/document/9259207 ) [ code] ( https://github.com/IMKBLE/iCmSC )
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- 5 . TPAMI2022: Deep Partial Multi-View Learning [ paper] ( https://arxiv.org/abs/2011.06170 ) [ code] ( [https://github.com/IMKBLE/DAMC](https://github.com/hanmenghan/CPM_Nets) )
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- 6 . TPAMI2022: Dual Contrastive Prediction for Incomplete Multi-view Representation Learning [ Paper] ( http://pengxi.me/wp-content/uploads/2022/08/DCP.pdf ) [ code] ( https://github.com/XLearning-SCU/2021-CVPR-Completer )
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+ 1 . NeurIPS 2019: CPM-Nets: Cross Partial Multi-View Networks [ Paper] ( https://papers.nips.cc/paper/2019/file/11b9842e0a271ff252c1903e7132cd68-Paper.pdf ) [ code] ( https://github.com/hanmenghan/CPM_Nets )
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+ 2 . TIP 2020: Generative Partial Multi-View Clustering [ paper] ( https://arxiv.org/abs/2003.13088 ) [ code] ( https://github.com/IMKBLE/PVC-GAN )
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+ 3 . CVPR 2021: COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction [ Paper] ( http://pengxi.me/wp-content/uploads/2021/03/2021CVPR-completer.pdf ) [ code] ( https://github.com/XLearning-SCU/2021-CVPR-Completer )
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+ 4 . TIP 2021: iCmSC: Incomplete Cross-modal Subspace Clustering [ paper] ( https://ieeexplore.ieee.org/abstract/document/9259207 ) [ code] ( https://github.com/IMKBLE/iCmSC )
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+ 5 . TPAMI 2022: Deep Partial Multi-View Learning [ paper] ( https://arxiv.org/abs/2011.06170 ) [ code] ( [https://github.com/IMKBLE/DAMC](https://github.com/hanmenghan/CPM_Nets) )
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+ 6 . TPAMI 2022: Dual Contrastive Prediction for Incomplete Multi-view Representation Learning [ Paper] ( http://pengxi.me/wp-content/uploads/2022/08/DCP.pdf ) [ code] ( https://github.com/XLearning-SCU/2021-CVPR-Completer )
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+ 7 . ICML 2022: Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm[ <a href = " https://proceedings.mlr.press/v162/tang22c/tang22c.pdf " target =" _blank " >Paper</a >] [ <a href =" https://github.com/Gasteinh/DSIMVC " target =" _blank " >Code</a >]
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### <span id =" jump25 " >Binary Multi-view Clustering</span >
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1 . TPAMI2019: Binary Multi-View Clustering [ Paper] ( http://cfm.uestc.edu.cn/~fshen/TPAMI-BMVC_Final.pdf ) [ code] ( https://github.com/DarrenZZhang/BMVC )
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