Alternatives and similar repositories for RGSL

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

• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆63Updated last year
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• boreshkinai / fc-gaga
  ☆68Updated 3 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆41Updated 2 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 3 years ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆36Updated last year
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆92Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆67Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆88Updated 3 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆120Updated 3 years ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆106Updated 8 months ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆133Updated last year
• shangzongjiang / MAGNN
  ☆106Updated 11 months ago
• louisechen520 / Bi-STAT
  ☆27Updated 2 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• idea-iitd / Frigate
  ☆15Updated 2 years ago
• Water2sea / WITRAN
  Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…
  ☆36Updated 2 years ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 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
• wengwenchao123 / PM-DMNet
  [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
  ☆30Updated 3 months ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 years ago
• guokan987 / HGCN
  The code of AAAI2021 paper of HGCN for Traffic Forecasting
  ☆98Updated 3 years ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆98Updated 3 weeks ago
• onceCWJ / FCDNet
  ☆23Updated 11 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆82Updated 3 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆170Updated 2 years ago
• decisionintelligence / MTSF-DG
  ☆25Updated last year