microsoft / StemGNNLinks
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
☆569Updated last year
Alternatives and similar repositories for StemGNN
Users that are interested in StemGNN are comparing it to the libraries listed below
Sorting:
- ☆874Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆176Updated 3 years ago
- Adaptive Graph Convolutional Recurrent Network☆398Updated last year
- graph wavenet☆714Updated 3 years ago
- Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)☆562Updated 2 years ago
- ☆846Updated 8 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆517Updated last year
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆169Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆411Updated 5 years ago
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆800Updated last year
- Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)☆911Updated 6 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆226Updated last year
- PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…☆370Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆237Updated 4 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆494Updated 3 years ago
- My implementation of the transformer architecture from the Attention is All you need paper applied to time series.☆321Updated 4 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆165Updated last year
- Modifications to Graph Wavenet☆108Updated 5 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆357Updated 6 years ago
- Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series☆232Updated 6 years ago
- An up-to-date list of time-series related papers in AI venues.☆421Updated last year
- The PyTorch implementation of STGCN.☆607Updated 5 months ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆659Updated 2 years ago
- Transformer based model for time series prediction☆132Updated 3 years ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆225Updated 2 years ago
- Graph Neural Networks for Irregular Time Series☆210Updated 2 years ago
- ☆396Updated 4 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆299Updated last year
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆310Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆221Updated 4 years ago