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Adaptive Cross-stitch Graph Convolutional Networks.

, , , и . MMAsia, стр. 75:1-75:7. ACM, (2021)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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A Robust Cost-Sensitive Feature Selection Via Self-Paced Learning Regularization., , , , , и . Neural Process. Lett., 54 (4): 2571-2588 (2022)Feature selection via kernel sparse representation., , и . SSCI, стр. 2633-2640. IEEE, (2019)Hierarchical Graph Representation Learning with Local Capsule Pooling., , и . MMAsia, стр. 77:1-77:7. ACM, (2021)Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation., , , , , и . ICME, стр. 1-6. IEEE, (2021)Local Structure Preservation for Nonlinear Clustering., , , , и . Neural Process. Lett., 52 (3): 1811-1826 (2020)Adaptive Graph Learning for Semi-supervised Classification of GCNs., , и . ADC, том 12610 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2021)Unsupervised Spectral Feature Selection with Local Structure Learning., , , , , и . ICBK, стр. 303-308. IEEE Computer Society, (2017)Unsupervised Feature Selection via Local Structure Learning and Self-Representation., , , , , и . ICBK, стр. 297-302. IEEE Computer Society, (2017)Adaptive Cross-stitch Graph Convolutional Networks., , , и . MMAsia, стр. 75:1-75:7. ACM, (2021)Hypergraph expressing low-rank feature selection algorithm., , , , и . Multimedia Tools Appl., 77 (22): 29551-29572 (2018)