Alternatives and similar repositories for SATCN

Users that are interested in SATCN are comparing it to the libraries listed below

• Kaimaoge / IGNNK
  ☆125Updated 2 years ago
• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆81Updated 2 years ago
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆16Updated 9 months ago
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆22Updated last year
• Echo-Ji / STDEN
  Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).
  ☆40Updated 3 years ago
• xinychen / LCR
  Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)
  ☆23Updated last year
• suzy0223 / STSM
  Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'
  ☆12Updated last month
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆37Updated 2 years ago
• Lucky-Fan / GP_TSE
  ☆10Updated 7 months ago
• tanwimallick / TL-DCRNN
  ☆42Updated 3 years ago
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆49Updated 7 months ago
• gorgen2020 / DVGNN
  ☆27Updated 3 months ago
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆11Updated last year
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆26Updated 3 years 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
• LMZZML / PriSTI
  ☆90Updated 2 years ago
• wanhuaiyu / ASTGNN
  ☆16Updated 3 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆135Updated last year
• TorchSpatiotemporal / tsl
  tsl: a PyTorch library for processing spatiotemporal data.
  ☆363Updated last month
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆122Updated 3 years ago
• LeiBAI / STG2Seq
  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
  ☆32Updated 5 years ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆62Updated 2 years ago
• deepkashiwa20 / DL-Traff-Grid
  [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)
  ☆58Updated 3 years ago
• xlwang233 / STSeq2Seq
  [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆16Updated 4 years ago
• AdityaLab / EpiFNP
  Official repo to paper
  ☆13Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• Curb-GAN / Curb-GAN
  The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
  ☆34Updated 5 years ago
• Chengyui / SUMformer
  Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)
  ☆20Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆76Updated 4 months ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆75Updated last year