Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
☆618May 31, 2024Updated 2 years ago
Alternatives and similar repositories for StemGNN
Users that are interested in StemGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆948Jul 6, 2023Updated 3 years ago
- graph wavenet☆826Mar 14, 2022Updated 4 years ago
- Adaptive Graph Convolutional Recurrent Network☆444Feb 23, 2024Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆178Nov 30, 2021Updated 4 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆250Feb 22, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Reproduce - Traffic_prediction - StemGNN(NeurIPS20)☆12Feb 5, 2022Updated 4 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆558Jul 17, 2024Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆150Dec 23, 2023Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,993May 30, 2026Updated 5 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆464Feb 4, 2020Updated 6 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆542Apr 12, 2022Updated 4 years ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆427Dec 10, 2023Updated 2 years ago
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow☆1,452Dec 9, 2024Updated last year
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆868Aug 9, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆178Sep 14, 2024Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆224Feb 11, 2024Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆748Jul 13, 2021Updated 5 years ago
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,211Aug 7, 2024Updated 2 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆336May 24, 2021Updated 5 years ago
- PyTorch implementation of ESG☆99Feb 21, 2023Updated 3 years ago
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆612Jul 28, 2023Updated 3 years ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆312Mar 6, 2025Updated last year
- Spatial-Temporal Graph ODE Neural Network☆131Jan 18, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆193Jun 22, 2022Updated 4 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆314Jun 25, 2026Updated 4 months ago
- ☆896Apr 9, 2017Updated 9 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆123Mar 18, 2025Updated last year
- Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.☆77Apr 13, 2021Updated 5 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆233Jan 26, 2021Updated 5 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆265Jul 1, 2021Updated 5 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆669Jul 12, 2023Updated 3 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆285Oct 16, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆816Aug 16, 2023Updated 3 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆175Nov 2, 2023Updated 2 years ago
- List of papers, code and experiments using deep learning for time series forecasting☆2,787Mar 16, 2024Updated 2 years ago
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,832Dec 23, 2025Updated 10 months ago
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,492Feb 28, 2025Updated last year
- The PyTorch implementation of STGCN.☆703Apr 2, 2025Updated last year
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆1,042Sep 29, 2026Updated last month