XDZhelheim / Torch-MTSLinks
My personal PyTorch framework for multivariate time series forecasting.
☆97Updated last week
Alternatives and similar repositories for Torch-MTS
Users that are interested in Torch-MTS are comparing it to the libraries listed below
Sorting:
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆65Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆103Updated 7 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆203Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆77Updated 5 months ago
- ☆121Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆237Updated 4 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆87Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆130Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆194Updated last year
- PyTorch implementation of ESG☆90Updated 2 years ago
- ☆102Updated 10 months ago
- ☆73Updated 8 months ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆63Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 3 months ago
- Awesome Time-Series and Spatio-Temporal Related☆103Updated 2 years ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆231Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆63Updated 3 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆116Updated 6 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆29Updated last year
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆49Updated 2 years ago
- ☆103Updated 4 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆95Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆148Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆27Updated 6 months ago
- ☆14Updated 3 years ago
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆14Updated last year
- ☆10Updated 2 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆185Updated 3 years ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Updated 3 months ago
- ☆39Updated 2 years ago