Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
☆296Mar 6, 2025Updated last year
Alternatives and similar repositories for STID
Users that are interested in STID are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆62Jan 30, 2024Updated 2 years ago
- Dynamic frequency domain graph convolution for traffic prediction☆70Sep 23, 2025Updated 6 months ago
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆72Aug 11, 2024Updated last year
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆95Mar 12, 2025Updated last year
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆81Nov 2, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆271Oct 16, 2023Updated 2 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
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,742Dec 23, 2025Updated 3 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆76Sep 4, 2024Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆225Nov 15, 2025Updated 5 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆93May 13, 2025Updated 11 months ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- graph wavenet☆789Mar 14, 2022Updated 4 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆289Oct 13, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Display of data sets and core code in STCGCN☆29Nov 16, 2022Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆127Jan 18, 2022Updated 4 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆275Nov 1, 2023Updated 2 years ago
- ☆29May 16, 2023Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆98Sep 2, 2025Updated 7 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆112Mar 18, 2025Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆201Dec 12, 2024Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆145Dec 23, 2023Updated 2 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆329May 24, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for our SIGKDD'25 paper BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.☆25May 26, 2025Updated 10 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆34Sep 2, 2025Updated 7 months ago
- Adaptive Graph Convolutional Recurrent Network☆429Feb 23, 2024Updated 2 years ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆15Jul 3, 2025Updated 9 months ago
- PyTorch implementation of AirFormer, AAAI-23☆161Dec 29, 2022Updated 3 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆256Mar 9, 2026Updated last month
- ☆921Jul 6, 2023Updated 2 years ago
- ☆24Aug 2, 2022Updated 3 years ago
- Transformer based model for time series prediction☆134May 9, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆102Oct 15, 2023Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆43Nov 16, 2022Updated 3 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆167Sep 14, 2024Updated last year
- source codes of TASSGN☆12Mar 11, 2024Updated 2 years ago
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆69Aug 13, 2024Updated last year
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆93Sep 2, 2024Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆90Nov 10, 2022Updated 3 years ago