Alternatives and similar repositories for AutoST:

Users that are interested in AutoST are comparing it to the libraries listed below

• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆77Updated 9 months ago
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 3 months ago
• YushengZhao / DyHSL
  ☆15Updated 2 years ago
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆68Updated 6 months ago
• AprLie / TrafficStream
  ☆47Updated 2 years ago
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆47Updated 6 months ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆34Updated 3 months ago
• mingyangzhang / mv-region-embedding
  code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)
  ☆32Updated 3 years ago
• yuyolshin / PGCN
  ☆13Updated last year
• RobinLu1209 / ST-GFSL
  ☆43Updated 2 years ago
• KL4805 / TransGTR
  Open-source code of TransGTR.
  ☆11Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆106Updated 3 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆67Updated 8 months ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆112Updated last year
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆34Updated 2 years ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆21Updated 11 months ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆46Updated 9 months ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• usail-hkust / UUKG
  UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction
  ☆92Updated last year
• juyongjiang / TrendGCN
  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…
  ☆48Updated last year
• liangzhehan / CMOD
  ☆23Updated 2 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆40Updated 2 years ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 2 years ago
• Yifang-Qin / DisenPOI
  The pytorch implementation of DisenPOI.
  ☆16Updated last year
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆11Updated 2 weeks ago
• idea-iitd / Frigate
  ☆15Updated last year
• sqlcow / TITAN
  The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》
  ☆20Updated 5 months ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆72Updated 2 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago