Alternatives and similar repositories for ST-LLM:

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

• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆67Updated 9 months ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆174Updated 4 months ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆170Updated last year
• Guoxs / xTP-LLM
  ☆17Updated 7 months ago
• liuxu77 / LargeST
  LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
  ☆199Updated last year
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆58Updated 5 months ago
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆234Updated last year
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆40Updated 3 months ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆113Updated last year
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆122Updated 9 months ago
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆80Updated 4 months ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆32Updated 4 months ago
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆157Updated last year
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆34Updated 3 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆49Updated 7 months ago
• wenhaomin / DiffSTG
  Code for DiffSTG
  ☆68Updated last year
• Jimmy-7664 / STD-MAE
  [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
  ☆183Updated last week
• Kqingzheng / ModWaveMLP
  ☆19Updated last year
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆70Updated 7 months ago
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆87Updated 3 weeks ago
• usail-hkust / BigST
  ☆19Updated 5 months ago
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆89Updated this week
• huogy / HSTGCNT
  ☆14Updated 2 years ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆76Updated 10 months ago
• guoshnBJTU / SSTBAN
  ☆26Updated last year
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆87Updated last month
• Kongwy5689 / STPGNN
  ☆20Updated 10 months ago