microsoft / StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
☆516Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for StemGNN
- ☆808Updated last year
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆341Updated 11 months ago
- Adaptive Graph Convolutional Recurrent Network☆359Updated 8 months ago
- graph wavenet☆628Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆170Updated 2 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆456Updated 4 months ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆149Updated 2 years ago
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆692Updated this week
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆352Updated 4 years ago
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆635Updated 3 months ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆419Updated 2 years ago
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆483Updated last year
- ☆770Updated 7 years ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆193Updated 2 months ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆810Updated 2 months ago
- An up-to-date list of time-series related papers in AI venues.☆368Updated 5 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆142Updated last year
- ☆275Updated 3 years ago
- The PyTorch implementation of STGCN.☆502Updated 2 months ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆340Updated 5 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆173Updated 8 months ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆279Updated last year
- Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".☆260Updated 5 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆595Updated 3 years ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆634Updated last year
- My implementation of the transformer architecture from the Attention is All you need paper applied to time series.☆311Updated 3 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆278Updated 2 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆187Updated 3 years ago
- PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…☆335Updated 10 months ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆547Updated last year