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Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm.

, , , , and . FSDM, volume 320 of Frontiers in Artificial Intelligence and Applications, page 363-370. IOS Press, (2019)

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Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution., , , , and . SpatialDI, volume 13614 of Lecture Notes in Computer Science, page 133-153. Springer, (2022)Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm., , , , and . FSDM, volume 320 of Frontiers in Artificial Intelligence and Applications, page 363-370. IOS Press, (2019)Deep multiple non-negative matrix factorization for multi-view clustering., , , and . Intell. Data Anal., 25 (2): 339-357 (2021)Attributed Network Embedding with Community Preservation., , , , and . DSAA, page 334-343. IEEE, (2020)Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks., , , , and . SpatialDI, volume 13614 of Lecture Notes in Computer Science, page 99-112. Springer, (2022)Multi-view Clustering via Multiple Auto-Encoder., , , , and . APWeb/WAIM (1), volume 12317 of Lecture Notes in Computer Science, page 612-626. Springer, (2020)Deep Multiple Auto-Encoder-Based Multi-view Clustering., , , , and . Data Sci. Eng., 6 (3): 323-338 (2021)Time Series Clustering via NMF in Networks., , , and . SERA, page 87-92. IEEE Computer Society, (2018)Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion., , , , , and . ADMA (4), volume 14179 of Lecture Notes in Computer Science, page 123-138. Springer, (2023)Attributed network embedding with dual fusion strategies., , , , and . J. Exp. Theor. Artif. Intell., 36 (7): 1307-1330 (October 2024)