Spatial-Temporal Transformer Networks for Traffic Flow Forecasting 架构:堆叠时空transformer 模型分析,消融实验详细 第五篇:北航CS出品【2023】 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction 架构:transformer用作encoder 延迟feature特征工程那块思路很好 第六篇:南方科技...
代码:GitHub - BUAABIGSCity/PDFormer: [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.作者:Jiang J, Han C, Zhao W X, et al.针对问题:动态空间建模<——使用多头自注意力机制;长距离空间依赖关系:两个距离较远的位置...
代码:GitHub - BUAABIGSCity/PDFormer: [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. 作者:Jiang J, Han C, Zhao W X, et al. 针对问题: 动态空间建模<——使用多头自注意力机制;长距离空间依赖关系:两个距离较远的...
To solve this problem, we propose a spatial-temporal Transformer with double recurrent graph convolutional cooperative network (STTDGRU) for traffic flow prediction. The model uses the double graph convolutional gated recurrent module based on dynamic graphs to capture the temporal and spatial ...
[3] “Graph WaveNet for Deep Spatial-Temporal Graph Modeling”. IJCAI, 2019. [4] “Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning”. IEEE Trans. Knowl. Data Eng. 2020. [5] “GMAN: A Graph Multi-Attention Network for Traffic Prediction”. AAAI 2020....
代码:GitHub - BUAABIGSCity/PDFormer: [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. 作者:Jiang J, Han C, Zhao W X, et al. 针对问题: 动态空间建模<——使用多头自注意力机制; ...
After a long and hard training, you will get a good traffic flow prediction model,please try to run the [test.py], You need to pay attention that the model takes up a lot of video memory, so there is no need to feed too much data at one time, please modify line30 and line31 ac...
Advanced hybrid LSTM‑transformer architecture for real‑time multi‑task prediction in engineering systems A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting SwinLSTM...
文献t-gcn:a temporal graphconvolutional network for traffic prediction将图卷积应用在交通流预测中,利用 图卷积网络和门控递归单元(gru)分别捕获时间依赖和空间依赖。文献 attention based spatial-temporal graph convolutional networks for traffic flowforecasting将注意力机制引入到交通流预测模型中,利用时空注意机制...
To this end, we propose a novel Propagation Delay-aware dynamic long-range transFormer, namely PDFormer, for accurate traffic flow prediction. Specifically, we design a spatial self-attention module to capture the dynamic spatial dependencies. Then, two graph masking matrices are introduced to high...