Graph Attention NetworkSpatial-temporal graphTemporal domainGait is a kind of attractive feature for human identification at a distance. It can be regarded as a kind of temporal signal. At the same time the human body shape can be regarded as the signal in the spatial domain. In the proposed...
1)Spatial attention 2)Temporal attention 在时间维度上,不同时间片上的交通状况之间存在相关性,且在不同情况下其相关性也不同。 Spatial-Temporal Convolution 时空关注模块让网络自动对有价值的信息给予相对更多的关注。本文提出的时空卷积模块包括空间维度上的图卷积,从邻近时间捕获空间相关性,以及沿时间维度上的卷积...
GRU: Gated Recurrent Unit network STGCN: spatial-temporal graph convolution model based on the spatial method GLU-STGCN: A graph convolution network with a gating mechanism GeoMAN: A multi-level attention-based recurrent neural network model 实验结果 从表1可以看出,就所有评估指标而言,ASTGCN在两个数...
论文笔记《Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting》,程序员大本营,技术文章内容聚合第一站。
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting,程序员大本营,技术文章内容聚合第一站。
Yan S, Xiong Y, Lin D (2018) Spatial temporal graph convolutional networks for skeleton-based action recognition. In: Thirty-second AAAI Conference on Artificial Intelligence Hou J, Wang G, Chen X, Xue JH, Zhu R, Yang H (2018) Spatial-temporal attention res-TCN for skeleton-based dynamic...
1 Prompt-Based Spatio-Temporal Graph Transfer Learning 2 Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction 3 Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation 4 ByGCN: Spatial Temporal Byroad-Aware ...
除了GCN外,基于Attention的图时序预估模型也是一种主流方法。GMAN: A Graph Multi-Attention Network for Traffic Prediction(AAAI 2020,GMAN)提出了基于Attention的图时序预估模型,在时间维度和空间维度都是通过Attention实现的。GMAN采用的模型框架与DCRNN、GraphWavenet都不同,GMAN在每层并行进行时间维度和空间维度的信息...
Attention Based Spatial-Temporal Graph Convolutional Recurrent Networksfor Traff i c ForecastingHaiyang Liu 1 , Chunjiang Zhu 2 , Detian Zhang 1∗ and Qing Li 31 Institute of Artif i cial Intelligence, Department of Computer Science and Technology, SoochowUniversity, Suzhou, China.2 Department of...
& Zhao, G. Learning graph convolutional network for skeleton-based human action recognition by neural searching. In Proc. AAAI Conf. Artif. Intell. 34, 2669–2676 (2020). Google Scholar Si, C., Chen, W., Wang, W., Wang, L. & Tan, T. An attention enhanced graph convolutional lstm...