GCN and Non-negative Matrix Factorization-Based Community Detection Mechanism
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0037-0_35
Reference22 articles.
1. Ni L, Manman P, Qiang W (2019) Multi-mode social network clustering via non-negative tri-matrix factorization with cluster indicator similarity regularization. IEEE Access 7:151713–151723. https://doi.org/10.1109/ACCESS.2019.2946744
2. Zhou G, Xie Z, He T, Zhao J, Hu XT (2016) Learning the multilingual translation representations for question retrieval in community question answering via non-negative matrix factorization. IEEE/ACM Trans Audio Speech Lang Process 24(7):1305–1314. https://doi.org/10.1109/TASLP.2016.2544661
3. Zhang S, Wu J, Li J, Gu J, Tang X, Xu X (2020) Semi-supervised community detection via constraint matrix construction and active node selection. IEEE Access 8:39078–39090. https://doi.org/10.1109/ACCESS.2019.2962634
4. Sørensen M, Sidiropoulos ND, Swami A (2022) Overlapping community detection via semi-binary matrix factorization: identifiability and algorithms. IEEE Trans Signal Process 70:4321–4336. https://doi.org/10.1109/TSP.2022.3200215
5. Liu Z, Yuan G, Luo X (2022) Symmetry and nonnegativity-constrained matrix factorization for community detection. IEEE/CAA J Automat Sin 9(9):1691–1693. https://doi.org/10.1109/JAS.2022.105794
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