Sephuroth's Stars
CodeNinjaja/GraFITi
PyTorch implementation of GraFITi (GraFITi: Graphs for Forecasting Irregularly Sampled Time Series)
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
laiguokun/multivariate-time-series-data
fbcotter/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
nnzhan/MTGNN
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Water2sea/TPGN
Gstdioh/DCRNN
DCRNN的Pytorch实现
david-knigge/ccnn
Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs/2301.10540.
microsoft/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
VeritasYin/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
Kaimaoge/SATCN
SATCN for Kriging
nuist-cs/MS-STGNN
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
Earth-Intelligence-Lab/LocalizedWeatherGNN
This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".
gorgen2020/HSPGNN
Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
alanyoungCN/WaveForM
PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (AAAI 2023)
GestaltCogTeam/D2STGNN
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
hazdzz/STGCN
The PyTorch implementation of STGCN.
OracleRay/STGCN_pytorch
The PyTorch implementation of STGCN.
guoshnBJTU/ASTGCN-2019-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
LeronQ/STGCN-Pytorch
Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch
GestaltCogTeam/BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
pyecharts/pyecharts
🎨 Python Echarts Plotting Library