Alternatives and similar repositories for MS-STGNN

Users that are interested in MS-STGNN are comparing it to the libraries listed below

• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆49Updated 2 years ago
• goaheand / AdapGL-pytorch
  ☆66Updated 3 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆72Updated 4 months ago
• Frank-Wang-oss / FCSTGNN
  ☆117Updated last year
• yokifly / ASTTN_pytorch
  ☆38Updated 2 years ago
• trainingl / AFDGCN
  Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.
  ☆19Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆70Updated 2 months ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆34Updated last year
• LiuZH-19 / Ada-STNet
  ☆43Updated 3 years ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆178Updated 3 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆62Updated last year
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆97Updated 6 months ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆99Updated 6 months ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆28Updated last year
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆58Updated 2 years ago
• shangzongjiang / Ada-MSHyper
  ☆64Updated 7 months ago
• Kongwy5689 / STPGNN
  ☆26Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 2 years ago
• dhxdla / AdpSTGCN
  The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting
  ☆14Updated last year
• zhangjunfeng1234 / ST-MLP
  ☆10Updated 9 months ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆27Updated 4 months ago
• SEU-WENJIA / ST-SepNet
  KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…
  ☆15Updated 2 months ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆40Updated 2 weeks ago
• louisechen520 / Bi-STAT
  ☆26Updated last year
• huogy / HSTGCNT
  ☆14Updated 3 years ago
• Azusa-Yuan / fc-gaga-torch
  ☆10Updated 2 years ago
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆27Updated last year
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆17Updated 2 weeks ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆118Updated 3 years ago
• zhengchuanpan / INCREASE
  INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
  ☆16Updated 2 years ago