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"
  ☆86Updated last year
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆57Updated 11 months ago
• YushengZhao / DyHSL
  [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
  ☆21Updated 3 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆76Updated 4 months ago
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆89Updated last year
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆57Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆120Updated 3 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆133Updated last year
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆40Updated 3 years ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆78Updated 2 years ago
• KL4805 / TransGTR
  Open-source code of TransGTR.
  ☆13Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 3 years ago
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆51Updated 10 months ago
• zzyy0929 / KDD23-CauSTG
  The appendix and core code of model CauSTG, for accepted paper in KDD 2023.
  ☆12Updated 2 years ago
• liangzhehan / CMOD
  ☆24Updated 3 years ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆73Updated last week
• mingyangzhang / mv-region-embedding
  code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)
  ☆35Updated 4 years ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆28Updated 7 months ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆162Updated last year
• yutong-xia / CaST
  PyTorch implementation of CaST, NeurIPS-23.
  ☆39Updated 6 months ago
• aptx1231 / START
  [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…
  ☆91Updated last year
• liangzhehan / DMSTGCN
  ☆74Updated 3 years ago
• yuyolshin / PGCN
  ☆19Updated 2 years ago
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 3 years ago
• Yukayo / MobGT
  [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  ☆23Updated last year
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆40Updated 3 months ago
• guoshnBJTU / SSTBAN
  ☆29Updated 2 years ago