microsoft / StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
☆536Updated 9 months ago
Alternatives and similar repositories for StemGNN:
Users that are interested in StemGNN are comparing it to the libraries listed below
- ☆843Updated last year
- graph wavenet☆671Updated 3 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆481Updated 8 months ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- Adaptive Graph Convolutional Recurrent Network☆383Updated last year
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆729Updated 7 months ago
- Multivariate Time Series Transformer, public version☆812Updated last year
- ☆805Updated 7 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆163Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆383Updated 5 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆443Updated 2 years ago
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆883Updated 2 weeks ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆206Updated last year
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆515Updated last year
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆647Updated last year
- The PyTorch implementation of STGCN.☆543Updated 2 weeks ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆350Updated 6 years ago
- ☆389Updated 3 years ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆573Updated 2 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆287Updated last year
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆386Updated last week
- Transformer based model for time series prediction☆128Updated 2 years ago
- time-series-predictoin(LSTNet,SAB,Transformer...)☆138Updated 6 years ago
- My implementation of the transformer architecture from the Attention is All you need paper applied to time series.☆319Updated 3 years ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆328Updated 6 months ago
- ☆258Updated 3 years ago
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆510Updated 7 months ago
- An up-to-date list of time-series related papers in AI venues.☆405Updated 9 months ago
- Convolutional Transformer for time series☆276Updated 4 years ago
- PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…☆351Updated last year