Alternatives and similar repositories for ST-CGCN

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

• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆96Updated 3 months ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆47Updated 2 years ago
• YanJieWen / STGMT-Tensorflow-implementation
  ☆13Updated 2 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆68Updated 2 months ago
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆87Updated last month
• yokifly / ASTTN_pytorch
  ☆38Updated 2 years ago
• DrownFish19 / CorrSTN
  A correlation information-based spatiotemporal network for traffic flow forecasting
  ☆29Updated last year
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆40Updated last month
• huogy / HSTGCNT
  ☆14Updated 3 years ago
• louisechen520 / Bi-STAT
  ☆26Updated last year
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆183Updated 7 months ago
• LMissher / ST-GRAT
  The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…
  ☆42Updated 4 years ago
• goaheand / AdapGL-pytorch
  ☆66Updated 3 years ago
• zhengdaoli / AGC-net
  AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY
  ☆11Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆122Updated last year
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆69Updated 4 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆56Updated 10 months ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆27Updated 2 months ago
• liangzhehan / DMSTGCN
  ☆73Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆113Updated 3 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆162Updated last year
• lonicera-yx / MGT
  ☆39Updated 3 years ago
• lwm412 / STFGNN-Pytorch
  A pytorch re-implementation of STFGNN
  ☆28Updated 2 years ago
• yuyolshin / PGCN
  ☆16Updated last year
• wengwenchao123 / PM-DMNet
  [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
  ☆23Updated last month
• alvinzhaowei / GAMCN
  This is an implementation of a traffic speed predicition model.
  ☆10Updated 2 years ago
• Echohhhhhh / GSNet
  AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
  ☆33Updated 2 years ago
• LiuZH-19 / Ada-STNet
  ☆43Updated 3 years ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆186Updated last year