Zheng, HangHefei University of TechnologyDing, XuHefei University of TechnologyWang, YangHefei University of TechnologyZhao, ChongHefei University of TechnologySpringer, ChamGuo, S., Lin, Y., Feng, N., Song, C., Wan, H.: Attention based spatial-temporal graph convolutional networks for traffic...
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。
Accurate highway traffic forecasting is a critical task in intelligent transportation systems (ITSs), which needs to capture complex spatiotemporal depende
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...
The framework of our developed spatial-temporal graph diffusion networks 首先将城市划分成I×J 个网格,然后再划分时间槽,这里时间单位可能是小时、天、周等。定义时间上的分辨率 p∈{ hour, day, week } 给定时序分辨率,生成 traffic series xi,jTp 。作者提出 resolution-aware attentive aggregation mechanism...
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting(AAAI 2021)设计了一种端到端的学习方法。原始的矩阵分解可以表示为Y=FX,进而可以表示为Y=FF'Y,该方法将原来的矩阵分解部分改为AutoEncoder,即通过Encoder隐式得到base序列,再通过Decoder还原原始序列。对于第二项时序约束...
ASTGCN Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) References Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan(*). Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. The 33rd AAAI Conference on...
第40届IEEE数据工程国际会议(ICDE2024 )于5月13日到17日在荷兰乌德勒支召开。 本届ICDE Research共接收论文376篇,Industry and Application接受论文21篇。本文总结了ICDE 2024上有关时空数据(Spatial-Temporal)的工作,部分挂在了arXiv上。如有疏漏和错误,欢迎后台私信补充和修正。
graph attention network (GAT)self-adaptive adjacency matrixspatial-temporal correlationtraffic speed prediction2024 Inst. of Scientific and Technical Information of China. All rights reserved.Considering the nonlinear structure and spatial-temporal correlation of traffic network, and the influence of...
However, this task faces challenges such intraindividual action differences and long-term temporal dependencies. To address these challenges, we propose an innovative model called spatial-temporal graph neural ordinary differential equations (STG-NODE). First, in the data preprocessing stage, the dynamic...