FelixOpolka/STGCN-PyTorchPublic Notifications Fork67 Star315 Code Issues8 Pull requests Actions Projects Security Insights Additional navigation options Files master data .gitignore LICENSE README.md main.py stgcn.py utils.py
具体来说,我们的模型在平均绝对误差(MAE)和均方误差(MSE)等指标上均优于原始STGCN。通过实验结果的分析,我们发现Pytorch复现的STGCN模型在预测交通速度方面具有以下优点:首先,我们有效地提高了STGCN的训练效率;其次,我们的方法能够更好地捕捉交通数据中的时空依赖性;最后,我们的模型在预测精度和鲁棒性方面也得到了显著...
The PyTorch implementation of STGCN from the paper Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. Paper https://arxiv.org/abs/1709.04875 Citation @inproceedings{10.5555/3304222.3304273, author = {Yu, Bing and Yin, Haoteng and Zhu, Zhanxing}, title ...
论文原文:Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionST-GCN(Pytorch)官方源码:https://github.com/yongqyu/st-gcn-pytorch 代码分析 核心代码分析 net网络 核心代码共分3个文件,在net文件夹下,分别为graph.py, tgcn.py, st-gcn.py。其中graph.py中包含邻接矩阵的建立和...
The PyTorch implementation of STGCN from the paper Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. Paper https://arxiv.org/abs/1709.04875 Citation @inproceedings{10.5555/3304222.3304273, author = {Yu, Bing and Yin, Haoteng and Zhu, Zhanxing}, title ...
A PyTorch Version of STGCN Base on hazdzz/STGCN with nni for Hyperparameter Optimization Paper Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. https://arxiv.org/abs/1709.04875 Model structure Hyperparameter Optimization It seems here are 3 major parame...