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"
  ☆64Updated last year
• 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
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆37Updated last year
• boreshkinai / fc-gaga
  ☆68Updated 3 years ago
• 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
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆95Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆70Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆123Updated 3 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• razvanc92 / triformer
  ☆25Updated 3 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆44Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• shangzongjiang / MAGNN
  ☆106Updated last year
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆106Updated 9 months ago
• zhangzw16 / SageFormer
  Code for IoTJ 2024 paper "SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting".
  ☆81Updated last year
• louisechen520 / Bi-STAT
  ☆27Updated 2 years ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆99Updated last month
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆32Updated last year
• JIANGYUE61610306 / SAGDFN
  This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…
  ☆19Updated 2 years ago
• juyongjiang / TrendGCN
  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…
  ☆50Updated 2 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆136Updated 2 years ago
• LiuZH-19 / Ada-STNet
  ☆44Updated 3 years ago
• liangzhehan / DMSTGCN
  ☆74Updated 3 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆83Updated 3 years ago
• kevin-xuan / FOGS
  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
  ☆28Updated 2 years ago
• yokifly / ASTTN_pytorch
  ☆40Updated 2 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 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