Alternatives and similar repositories for FOGS

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

• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆70Updated last month
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆99Updated 5 months ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆51Updated last month
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆126Updated last year
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆69Updated 3 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆60Updated 11 months ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆190Updated last year
• guoshnBJTU / SSTBAN
  ☆26Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆45Updated 2 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 3 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆48Updated 2 years ago
• xlwang233 / STSeq2Seq
  [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆15Updated 4 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆115Updated 3 years ago
• ibizatomorrow / DCST
  [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …
  ☆13Updated last month
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆27Updated 4 months ago
• yokifly / ASTTN_pytorch
  ☆38Updated 2 years ago
• lonicera-yx / MGT
  ☆39Updated 3 years ago
• YihongT / DASTNet
  [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…
  ☆48Updated 2 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
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• liangzhehan / DMSTGCN
  ☆73Updated 2 years ago
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆86Updated 2 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆96Updated 6 months ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 2 years 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
• huogy / HSTGCNT
  ☆14Updated 3 years ago
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆47Updated 7 months ago
• dcliu99 / MSDR
  Implementation for MSDR
  ☆25Updated 2 years ago