Alternatives and similar repositories for GPT-ST

Users that are interested in GPT-ST are comparing it to the libraries listed below

• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated last year
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 5 months ago
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆77Updated 9 months ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆46Updated 11 months ago
• YushengZhao / DyHSL
  [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
  ☆16Updated 2 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆36Updated 2 years ago
• usail-hkust / UUKG
  UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction
  ☆100Updated last month
• RobinLu1209 / ST-GFSL
  ☆44Updated 2 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆117Updated last year
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆21Updated 11 months ago
• KL4805 / TransGTR
  Open-source code of TransGTR.
  ☆12Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆69Updated 10 months ago
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 3 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• aptx1231 / START
  [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…
  ☆81Updated last year
• Yukayo / MobGT
  [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  ☆22Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆111Updated 3 years ago
• AprLie / TrafficStream
  ☆47Updated 3 years ago
• HKUDS / OpenCity
  "OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
  ☆110Updated 9 months ago
• HKUDS / EasyST
  [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
  ☆17Updated 8 months ago
• liangzhehan / CMOD
  ☆23Updated 2 years ago
• Yifang-Qin / DisenPOI
  The pytorch implementation of DisenPOI.
  ☆18Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆43Updated 2 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆37Updated 2 years ago
• mingyangzhang / mv-region-embedding
  code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)
  ☆33Updated 3 years ago
• jbdj-star / st
  ☆42Updated 3 years ago
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆42Updated 4 months ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆73Updated 2 years ago
• icmpnorequest / SIGIR2024_DCHL
  Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation
  ☆22Updated 8 months ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago