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Example-feature graph convolutional networks for semi-supervised classification.

, , , and . Neurocomputing, (2021)

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HpLapGCN: Hypergraph p-Laplacian graph convolutional networks., , , and . Neurocomputing, (2019)Two-order graph convolutional networks for semi-supervised classification., , , and . IET Image Process., 13 (14): 2763-2771 (2019)A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition., , , , and . IET Image Process., 16 (5): 1433-1443 (2022)Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition., and . Generalization with Deep Learning, WorldScientific, (2021)Example-feature graph convolutional networks for semi-supervised classification., , , and . Neurocomputing, (2021)Self-Supervised Guided Hypergraph Feature Propagation for Semi-Supervised Classification with Missing Node Features., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Human activity recognition by manifold regularization based dynamic graph convolutional networks., , , , and . Neurocomputing, (2021)Semantic-visual Guided Transformer for Few-shot Class-incremental Learning., , , , and . ICME, page 2885-2890. IEEE, (2023)The comparison of different graph convolutional neural networks for image recognition., , and . ICIMCS, page 12:1-12:6. ACM, (2018)Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing., , , , and . ICDM, page 1019-1024. IEEE, (2023)