Alternatives and similar repositories for SATCN

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

• Kaimaoge / IGNNK
  ☆123Updated 2 years ago
• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆80Updated 2 years ago
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆35Updated 2 years ago
• Echo-Ji / STDEN
  Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).
  ☆40Updated 3 years ago
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆14Updated 6 months ago
• Lucky-Fan / GP_TSE
  ☆10Updated 4 months ago
• suzy0223 / STSM
  Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'
  ☆11Updated last year
• Chengyui / SUMformer
  Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)
  ☆20Updated 9 months ago
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆46Updated 4 months ago
• Xun-Zhu / weather2k
  ☆45Updated last month
• xinychen / LCR
  Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)
  ☆22Updated 10 months ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆74Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆129Updated last year
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆23Updated 9 months ago
• wanhuaiyu / ASTGNN
  ☆16Updated 2 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
• ChaoqunSu / kddcup
  KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution
  ☆24Updated 3 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)
  ☆55Updated 3 years ago
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆59Updated 2 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• gorgen2020 / DVGNN
  ☆26Updated 2 weeks ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• wtl52656 / IAGCN
  ☆11Updated last year
• xlwang233 / STSeq2Seq
  [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆15Updated 4 years ago
• LMZZML / PriSTI
  ☆89Updated last year
• JLDeng / SCNN
  [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…
  ☆30Updated last year
• YuanYuan98 / UniFlow
  ☆15Updated 10 months ago
• LeiBAI / STG2Seq
  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
  ☆32Updated 5 years ago
• alvinzhaowei / GAMCN
  This is an implementation of a traffic speed predicition model.
  ☆10Updated 2 years ago