中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共16条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting 期刊论文
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;  Pei, Changhua;  Meng, Xuying;  Xie, Kun;  Zhang, Guangxing
收藏  |  浏览/下载：1/0  |  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  
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 226, 页码: 11
作者:  Zhu, Xiaofei;  Li, Chenghong;  Guo, Jiafeng;  Dietze, Stefan
收藏  |  浏览/下载：19/0  |  提交时间：2023/12/04
Network representation learning  Deep learning  Graph convolutional networks  Node classification  
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism  
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2009-2023
作者:  Wen, Yu-Hui;  Gao, Lin;  Fu, Hongbo;  Zhang, Fang-Lue;  Xia, Shihong;  Liu, Yong-Jin
收藏  |  浏览/下载：22/0  |  提交时间：2023/07/12
Skeleton  Feature extraction  Joints  Convolutional codes  Topology  Training  Sparse matrices  Action recognition  graph convolutional neural networks  spatio-temporal attention  non-local block  skeleton sequence  
附加特征图增强的图卷积神经网络 期刊论文
计算机学报, 2023, 卷号: 46, 期号: 9, 页码: 1900
作者:  孙隽姝;  王树徽;  杨晨雪;  黄庆明;  郑振刚
收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20
graph representation learning  graph neural networks  message passing  graph convolutional networks  node classification  图表示学习  图神经网络  信息传播  图卷积网络  节点分类  
Location-aware convolutional neural networks for graph classification 期刊论文
NEURAL NETWORKS, 2022, 卷号: 155, 页码: 74-83
作者:  Wang, Zhaohui;  Cao, Qi;  Shen, Huawei;  Xu, Bingbing;  Cen, Keting;  Cheng, Xueqi
收藏  |  浏览/下载：20/0  |  提交时间：2023/07/12
Graph classification  Convolutional neural networks  Location-aware  
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：35/0  |  提交时间：2022/12/07
Aspect-based sentiment classification  Graph convolutional networks  Attention mechanism  Sentiment analysis  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：38/0  |  提交时间：2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
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：29/0  |  提交时间：2022/12/07
traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component