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
• suzy0223 / STSM
  Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'
  ☆13Updated 2 months ago
• 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
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆22Updated last year
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆37Updated 2 years ago
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆16Updated 10 months ago
• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆82Updated 2 years ago
• Lucky-Fan / GP_TSE
  ☆10Updated 8 months ago
• Chengyui / SUMformer
  Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)
  ☆20Updated last year
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆51Updated 8 months ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆26Updated 4 years ago
• wanhuaiyu / ASTGNN
  ☆16Updated 3 years ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆75Updated last year
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 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
• Xun-Zhu / weather2k
  ☆48Updated 5 months ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated 2 years ago
• Friger / GAGNN
  add codes
  ☆19Updated 4 years ago
• LeiBAI / STG2Seq
  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
  ☆32Updated 5 years ago
• YuanYuan98 / UniFlow
  ☆17Updated last year
• mcgill-smart-transport / high-order-weighted-DMD
  ☆13Updated 4 years ago
• ChaoqunSu / kddcup
  KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution
  ☆24Updated 3 years ago
• tongnie / traffic_dynamics
  Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
  ☆12Updated last year
• GestaltCogTeam / BLAST
  Code for our SIGKDD'25 paper BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
  ☆25Updated 7 months ago
• kethmih / AirPhyNet
  Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).
  ☆37Updated last year
• xlwang233 / STSeq2Seq
  [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆17Updated 4 years ago
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆11Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆124Updated 3 years ago
• gorgen2020 / DVGNN
  ☆28Updated 4 months ago