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Learning metric space with distillation for large-scale multi-label text classification., , , , and . Neural Comput. Appl., 35 (15): 11445-11458 (May 2023)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)Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization., , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (12): 10279-10293 (December 2023)A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering., , , and . Expert Syst. Appl., (2021)Deep multiple non-negative matrix factorization for multi-view clustering., , , and . Intell. Data Anal., 25 (2): 339-357 (2021)A Survey and an Empirical Evaluation of Multi-View Clustering Approaches., , , , and . ACM Comput. Surv., 56 (7): 187:1-187:38 (July 2024)A tensor framework for geosensor data forecasting of significant societal events., , , , , , and . Pattern Recognit., (2019)Deep Multiple Auto-Encoder-Based Multi-view Clustering., , , , and . Data Sci. Eng., 6 (3): 323-338 (2021)Neighbor-aware deep multi-view clustering via graph convolutional network., , , , and . Inf. Fusion, (May 2023)