搜索graph convolutional network共有 35 个结果
1
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
2
Dual semantic correlation graph convolutional networks for cross-modal retrieval
2024年第4期 : 1239-1246
doi:10.19734/j.issn.1001-3695.2023.08.0370
3
Dual-channel graph convolutional network with word-order knowledge for aspect-based sentiment analysis
2024年第3期 : 779-785
doi:10.19734/j.issn.1001-3695.2023.07.0310
4
Inter-regional taxi demand forecasting based on time series correlation dynamic graph and ordinary differential equation
2024年第3期 : 794-798,860
doi:10.19734/j.issn.1001-3695.2023.06.0317
5
Three-dimensional human motion prediction combining spatiotemporal graph convolutional networks and non-autoregressive models
2024年第3期 : 956-960
doi:10.19734/j.issn.1001-3695.2023.07.0323
6
Research on house price forecasting model based on graph neural network and short-term memory model
2023年第11期 : 3282-3288
doi:10.19734/j.issn.1001-3695.2023.03.0104
7
Arbitrary angle sitting posture recognition based on human skeleton
2023年第11期 : 3509-3514
doi:10.19734/j.issn.1001-3695.2023.03.0070
8
Event detection based on dependency information and graph convolutional network
2023年第10期 : 2967-2971,3006
doi:10.19734/j.issn.1001-3695.2023.03.0097
9
Object saliency ranking awareness network for efficient image retrieval
2023年第10期 : 3186-3193,3200
doi:10.19734/j.issn.1001-3695.2023.01.0028
10
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
11
Graph contrastive learning recommendation algorithm based on mixed sampling
2023年第5期 : 1346-1351
doi:10.19734/j.issn.1001-3695.2022.10.0533
12
Graph convolution collaborative filtering algorithm for discriminating interaction intentions
2023年第4期 : 1059-1064
doi:10.19734/j.issn.1001-3695.2022.09.0458
13
Aspect-based sentiment analysis based on local feature focusing
2023年第3期 : 682-688
doi:10.19734/j.issn.1001-3695.2022.07.0364
14
Graph convolutional network based unsupervised cross-modal hashing retrieval
2023年第3期 : 789-793
doi:10.19734/j.issn.1001-3695.2022.07.0398
15
Traffic flow prediction model based on graph convolutional network for traffic intersections
2023年第2期 : 440-444
doi:10.19734/j.issn.1001-3695.2022.06.0307
16
Capsule-based graph convolutional disentanglement for session-aware recommendation
2023年第1期 : 122-128
doi:10.19734/j.issn.1001-3695.2022.05.0283
17
Graph convolutional networks based on structural errors
2023年第1期 : 155-159
doi:10.19734/j.issn.1001-3695.2022.05.0279
18
Multivariate time series forecasting with spatio-temporal graph convolutional network
2022年第12期 : 3568-3573
doi:10.19734/j.issn.1001-3695.2022.05.0235
19
Chinese aspect-based sentiment analysis integrating sentiment and topic information
2022年第12期 : 3614-3619,3625
doi:10.19734/j.issn.1001-3695.2022.05.0236
20
Traffic flow prediction based on gated recurrent graph convolutional network
2022年第8期 : 2301-2305
doi:10.19734/j.issn.1001-3695.2022.01.0026
21
RA-GCN: text classification algorithm suppressing over-smoothing phenomenon
2022年第8期 : 2403-2408
doi:10.19734/j.issn.1001-3695.2022.02.0037
22
Rumor detection with knowledge representation and graph convolutional network
2022年第7期 : 2032-2036
doi:10.19734/j.issn.1001-3695.2022.01.0003
23
Temporal knowledge graph prediction based on entities activity and copy generation
2022年第6期 : 1737-1741
doi:10.19734/j.issn.1001-3695.2021.11.0611
24
Multi-behavior recommendation model based on light graph convolution and enhanced attention
2022年第6期 : 1753-1759
doi:10.19734/j.issn.1001-3695.2021.11.0638
25
Attention based PM2.5 multi-order spatio-temporal graph convolutional network inference model
2022年第5期 : 1491-1495
doi:10.19734/j.issn.1001-3695.2021.10.0471
26
Key frame extraction algorithm of reinforcement learning based on multi-channel feature and attention mechanism
2022年第4期 : 1274-1280
doi:10.19734/j.issn.1001-3695.2021.06.0332
27
Traffic flow prediction based on multi-spatial-temporal graph convolutional network
2022年第3期 : 780-784
doi:10.19734/j.issn.1001-3695.2021.08.0361
28
2D/3D skeleton action recognition based on posture transformation and posture fusion
2022年第3期 : 900-905
doi:10.19734/j.issn.1001-3695.2021.07.0286
29
Layer-wise graph convolutional network based on self-supervised learning strategy
2022年第1期 : 128-133
doi:10.19734/j.issn.1001-3695.2021.06.0250
30
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
31
Prediction of graduation destination based on graph convolutional network embedded social relations
2021年第11期 : 3322-3326,3365
doi:10.19734/j.issn.1001-3695.2021.04.0110
32
Multi-label remote sensing image classification based on graph convolutional network
2021年第11期 : 3439-3445
doi:10.19734/j.issn.1001-3695.2021.04.0153
33
Adaptive graph auto-encoder based on restarted random walk
2021年第10期 : 3009-3013
doi:10.19734/j.issn.1001-3695.2021.03.0083
34
Dynamic link prediction algorithm based on graph convolutional networks via temporal motif-based attention
2021年第10期 : 3143-3147
doi:10.19734/j.issn.1001-3695.2021.01.0029
35
Fabric classification based on graph convolutional network
2021年第5期 : 1581-1585,1594
doi:10.19734/j.issn.1001-3695.2020.05.0152