机构

• 自动化研究所 [13]
• 计算技术研究所 [8]
• 地理科学与资源研究所 [3]
• 力学研究所 [2]
• 上海营养与健康研究所 [2]
• 金属研究所 [1]
• 更多

采集方式

• OAI收割 [32]

内容类型

• 期刊论文 [30]
• 会议论文 [2]

发表日期

• 2026 [1]
• 2024 [2]
• 2023 [6]
• 2022 [4]
• 2021 [1]
• 2020 [1]
• 更多

学科主题

• Neuroscien... [2]
• Radiology,... [1]

筛选

浏览/检索结果: 共32条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Prediction of mechanical properties of cross-linked polymer interface by graph convolution network 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2026, 卷号: 42, 期号: 3, 页码: 12 作者:  王新天洋;  Liao LJ(廖丽涓);  Huang CG(黄晨光);  Wu XQ(吴先前)   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/18 Graph convolutional network  Molecular dynamic  Adhesive interface  Mechanical properties  Topology structure   DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 296, 页码: 13 作者:  Duan, Chenming;  Wu, Zhichao;  Zhu, Li;  Xu, Xirong   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/09/09 Adaptive feature fusion  Spatio-temporal network  Early fault warning  Dynamic graph  K-order relations   DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting 期刊论文  OAI收割 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 6, 页码: 6865-6880 作者:  Diao, Zulong;  Wang, Xin;  Zhang, Dafang;  Xie, Gaogang;  Chen, Jianguo   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/12/06 Forecasting  Convolutional neural networks  Predictive models  Roads  Real-time systems  Feature extraction  Tensors  Traffic forecasting  dynamic spatial-temporal graph networks  traffic sensor networks  smart city services   DyTSCL: Dynamic graph representation via tempo-structural contrastive learning 期刊论文  OAI收割 NEUROCOMPUTING, 2023, 卷号: 556, 页码: 8 作者:  Li, Jianian;  Bao, Peng;  Yan, Rong;  Shen, Huawei   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/12/04 Graph representation learning  Contrastive learning  Dynamic graph  Tempo-structural information   Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12 作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang   |  收藏  |  浏览/下载：36/0  |  提交时间：2023/12/04 Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network   Spatial-temporal knowledge graph network for event prediction 期刊论文  OAI收割 NEUROCOMPUTING, 2023, 卷号: 553, 页码: 11 作者:  Huai, Zepeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua   |  收藏  |  浏览/下载：38/0  |  提交时间：2023/11/17 Multi -event prediction  Knowledge graph  Dynamic graph embedding   Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13 作者:  Tian, Hu;  Zhang, Xingwei;  Zheng, Xiaolong;  Zeng, Daniel Dajun   |  收藏  |  浏览/下载：35/0  |  提交时间：2023/11/17 Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system   Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13 作者:  Hu, Xuemin;  Liu, Yanfang;  Tang, Bo;  Yan, Junchi;  Chen, Long   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/11/17 Autonomous driving  graph convolutional network  trainable adjacency matrix  overtaking  dynamic graph   Robust Consensus Tracking Control of Uncertain Multi-Agent Systems With Local Disturbance Rejection 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 427-438 作者:  Pan Yu   |  收藏  |  浏览/下载：63/0  |  提交时间：2023/01/16 Directed graph  distributed control  disturbance rejection  dynamic uncertainties  multi-agent systems  robust control   Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文  OAI收割 CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272 作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei   |  收藏  |  浏览/下载：64/0  |  提交时间：2022/12/07 Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network