51 skills found · Page 1 of 2
liyaguang / DCRNNImplementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
QData / SpacetimeformerMultivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
TorchSpatiotemporal / Tsltsl: a PyTorch library for processing spatiotemporal data.
Jimmy-7664 / STD MAE[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Rose-STL-Lab / Dyffusion[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
yyyujintang / VMRNN PyTorchOfficial repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
underdoc-wang / ST MGCN[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
xbfu / Spatiotemporal Attention NetworksSpatiotemporal Attention Networks for Wind Power Forecasting
RobinLu1209 / STAG GCNSpatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
XDZhelheim / HimNet[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
AILAB-CEFET-RJ / Stconvs2sCode for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)
midas-research / Sthgcn IcdmCode for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
JimmyZou / SnipperThis is the re-implementation of paper "Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet"
roarer008 / STDNAn offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 2025)
yiminghzc / MDST GNNa multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing shortcomings and improve the accuracy of periodic data prediction in this paper.
DrownFish19 / CorrSTNA correlation information-based spatiotemporal network for traffic flow forecasting
thuml / Dynamical DiffusionAbout Code release for "Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models" (ICLR 2025)
Vincent665 / MGCN For Traffic PredictionThe repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term Traffic Forecasting]
hpi-sam / GNN SpaceTimeGraphsGraph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
Graph-Machine-Learning-Group / Taming Local Effects StgnnsOfficial repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
