Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
☆72Aug 13, 2024Updated 2 years ago
Alternatives and similar repositories for TESTAM
Users that are interested in TESTAM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆45Sep 2, 2025Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆85Sep 4, 2024Updated 2 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆261Mar 9, 2026Updated 7 months ago
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆31Sep 27, 2024Updated 2 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆307Oct 13, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Here is the repository containing our code implementation of Spatio-Temporal Graph Transformer (STGormer).☆14Aug 25, 2024Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆247Nov 15, 2025Updated 11 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆150Dec 23, 2023Updated 2 years ago
- [SIGSPATIAL 2025 Best Paper Award] Official implement of XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptat…☆31Oct 3, 2026Updated 3 weeks ago
- [ESWA'24] ✨ An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆32Apr 27, 2025Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆88Nov 30, 2025Updated 11 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆136Mar 23, 2024Updated 2 years ago
- [AAAI'2025] "Efficient Traffic Prediction through Spatio-Temporal Distillation"☆18May 23, 2025Updated last year
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆140May 17, 2026Updated 5 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This is a Pytorch implementation of TLAST: A Time-Lag Aware Spatial-Temporal Transformer for Traffic Flow Forecasting (TITS 2025).☆15Nov 3, 2025Updated 11 months ago
- This code is a official PyTorch implementation of our paper "Low-rank Adaptation for Spatio-Temporal Forecasting".☆12Sep 30, 2025Updated last year
- Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting☆12Dec 13, 2023Updated 2 years ago
- ☆33Oct 18, 2024Updated 2 years ago
- ☆14Mar 12, 2025Updated last year
- ☆10Apr 24, 2025Updated last year
- The code for TFPS☆75Nov 8, 2024Updated last year
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆16Jan 26, 2026Updated 9 months ago
- ☆114Jun 11, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆31May 16, 2023Updated 3 years ago
- Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)☆231Jan 9, 2025Updated last year
- [NeurIPS 2025] AliO: Output Alignment Matters in Long-Term Time Series Forecasing☆11Oct 19, 2026Updated 2 weeks ago
- ☆31Jun 4, 2024Updated 2 years ago
- ☆18May 9, 2025Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆178Sep 14, 2024Updated 2 years ago
- The Keras Implementation of MUSE-Net☆12Dec 4, 2023Updated 2 years ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆102Dec 29, 2024Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆123Mar 18, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''☆14Apr 30, 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 last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆204Dec 12, 2024Updated last year
- Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction☆13Oct 16, 2026Updated 2 weeks ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆86Jul 19, 2025Updated last year
- Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"☆15Nov 19, 2025Updated 11 months ago
- ☆18Aug 20, 2023Updated 3 years ago