中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共12条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文
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：32/0  |  提交时间：2022/12/07
Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network  
Multi-Node Acceleration for Large-Scale GCNs 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152
作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载：26/0  |  提交时间：2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning 期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 12
作者:  Liu, Hong;  Jiao, Meng-Lei;  Xing, Xiao-Ying;  Ou-Yang, Han-Qiang;  Yuan, Yuan;  Liu, Jian-Fang;  Li, Yuan;  Wang, Chun-Jie;  Lang, Ning;  Qian, Yue-Liang;  Jiang, Liang;  Yuan, Hui-Shu;  Wang, Xiang-Dong
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
tumor classification  deep learning  multi-plane fusion  benign  malignant  
Exploring rich structure information for aspect-based sentiment classification 期刊论文
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2022, 页码: 21
作者:  Zhu, Ling;  Zhu, Xiaofei;  Guo, Jiafeng;  Dietze, Stefan
收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07
Aspect-based sentiment classification  Graph convolutional networks  Attention mechanism  Sentiment analysis  
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Zhou, Pengfei;  Ying, Kaining;  Wang, Zhenhua;  Guo, Dongyan;  Bai, Cong
收藏  |  浏览/下载：29/0  |  提交时间：2022/12/07
Task analysis  Convolution  Semantics  Internet  Bit error rate  Visualization  Pipelines  Graph convolutional network (GCN)  multimodal data  named entity disambiguation (NED)  self-supervised learning (SSL)  
CGCNImp: a causal graph convolutional network for multivariate time series imputation 期刊论文
PEERJ COMPUTER SCIENCE, 2022, 卷号: 8, 页码: 23
作者:  Liu, Caizheng;  Cui, Guangfan;  Liu, Shenghua
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Multivariate time series imputation  Graph causal analysis  Graph neural network  Deep neural network  
MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction 期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 卷号: 2022, 页码: 10
作者:  Liu, Shaohua;  Liu, Haibo;  Wang, Yisu;  Sun, Jingkai;  Mao, Tianlu
收藏  |  浏览/下载：17/0  |  提交时间：2022/12/07
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Deep learning accelerator  graph neural network (GNN)  
SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning 期刊论文
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 卷号: 23, 期号: 7, 页码: 13
作者:  Wang, Xun;  Liu, Jiali;  Zhang, Chaogang;  Wang, Shudong
收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07
deep learning  compound-protein interactions  compound properties  protein preperties  IC50 value  
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17
作者:  Zhang, Chi;  Zhou, Hong-Yu;  Qiu, Qiang;  Jian, Zhichun;  Zhu, Daoye;  Cheng, Chengqi;  He, Liesong;  Liu, Guoping;  Wen, Xiang;  Hu, Runbo
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component