搜索graph convolution network共有 13 个结果
1
Relation extraction method integrating liquid neural networks and hierarchical graph convolution
2026年第1期 : 69-75
doi:10.19734/j.issn.1001-3695.2025.06.0183
2
Ambiguous action recognition under multi-input-branch skeleton feature
2025年第11期 : 3497-3505
doi:10.19734/j.issn.1001-3695.2025.03.0056
3
Dynamic population hypergraph convolutional network for autism spectrum disorder diagnosis
2025年第5期 : 1356-1362
doi:10.19734/j.issn.1001-3695.2024.11.0427
4
Traffic prediction model considering spatial correlation of non-neighboring nodes
2025年第3期 : 825-833
doi:10.19734/j.issn.1001-3695.2024.07.0261
5
Flight delay prediction model based on improved dual dynamic spatial-temporal graph network
2025年第2期 : 365-370
doi:10.19734/j.issn.1001-3695.2024.06.0282
6
Traffic flow prediction model based on combining periodic graph convolution network and multi-head attention GRU
2024年第4期 : 1041-1046
doi:10.19734/j.issn.1001-3695.2023.08.0362
7
Session-based recommendation algorithm based on hypergraph convolution network and target multi-intention perception
2024年第1期 : 32-38,44
doi:10.19734/j.issn.1001-3695.2023.05.0199
8
Consistency based graph convolution network for multimodal emotion recognition in conversation
2023年第10期 : 3100-3106
doi:10.19734/j.issn.1001-3695.2023.02.0064
9
Information diffusion prediction based on hypergraph attention mechanism and graph convolution network
2023年第6期 : 1715-1720
doi:10.19734/j.issn.1001-3695.2022.10.0510
10
Mining of dual data flow graph combined with sequence information and detection method of malwares
2023年第6期 : 1829-1836
doi:10.19734/j.issn.1001-3695.2022.10.0561
11
Chinese sign language translation method fusing adaptive graph convolution and Transformer sequence model
2023年第5期 : 1589-1594,1600
doi:10.19734/j.issn.1001-3695.2022.08.0463
12
Skeleton recognition model based on enhanced graph convolution
2021年第12期 : 3791-3795,3825
doi:10.19734/j.issn.1001-3695.2021.04.0154
13
Aspect level sentiment analysis based on distance and graph convolution network
2021年第11期 : 3274-3278,3321
doi:10.19734/j.issn.1001-3695.2021.04.0150