机构

• 计算技术研究所 [4]
• 自动化研究所 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [6]

发表日期

• 2023 [3]
• 2022 [2]
• 2020 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 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：15/0  |  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：21/0  |  提交时间：2023/12/04 Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network   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：23/0  |  提交时间：2023/11/17 Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system   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：47/0  |  提交时间：2022/12/07 Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network   NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups 期刊论文  OAI收割 KNOWLEDGE AND INFORMATION SYSTEMS, 2022, 页码: 25 作者:  Shen, Yinghan;  Jiang, Xuhui;  Li, Zijian;  Wang, Yuanzhuo;  Jin, Xiaolong   |  收藏  |  浏览/下载：37/0  |  提交时间：2022/12/07 Dynamic network completion  Dynamic graph representation learning  Social group  Anonymous walk   Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8 作者:  Feng, Dong;  Wu, Zhongcheng;  Zhang, Jun;  Wu, Ziheng   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/12/28 Correlation  Convolution  Feature extraction  Predictive models  Forecasting  Market research  Data models  Traffic speed prediction  spatial-temporal network  graph convolutional network  dynamic graph learning