Alternatives and similar repositories for GMRL:

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

• idea-iitd / Frigate
  ☆15Updated last year
• alipay / RGSL
  ☆43Updated 2 years ago
• razvanc92 / triformer
  ☆25Updated 2 years ago
• Bounger2 / ST-CGCN
  Display of data sets and core code in STCGCN
  ☆21Updated 2 years ago
• huangsiyuan924 / MEAformer
  MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting
  ☆12Updated 11 months ago
• AI4CTS / lightcts
  ☆36Updated 8 months ago
• YoZhibo / ForecastGrapher
  ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
  ☆26Updated 9 months ago
• gorgen2020 / DVGNN
  ☆24Updated last year
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆24Updated 7 months ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆36Updated 2 years ago
• zhangxjohn / Reversible-Instance-Normalization
  Implementation of RevIN is based on TF2.Keras and PyTorch.
  ☆26Updated last year
• DAMO-DI-ML / KDD2022-Quatformer
  Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
  ☆29Updated last year
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆56Updated 9 months ago
• ibizatomorrow / DCST
  This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…
  ☆10Updated 7 months ago
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆54Updated 2 years ago
• boreshkinai / fc-gaga
  ☆69Updated 3 years ago
• alanyoungCN / WaveForM
  PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…
  ☆42Updated 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…
  ☆41Updated 3 years ago
• zhengdaoli / AGC-net
  AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY
  ☆11Updated last year
• nkirschi / Neural-Flood-Forecasting
  Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
  ☆14Updated this week
• lichuustc / UnetTSF
  UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model
  ☆49Updated last year
• YanJieWen / STGMT-Tensorflow-implementation
  ☆13Updated 2 years ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆84Updated 2 weeks ago
• icantnamemyself / FormerTime
  ☆9Updated 2 years ago
• ddz16 / Preformer
  This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Corr…
  ☆44Updated 2 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆57Updated 5 months ago
• louisechen520 / Bi-STAT
  ☆25Updated last year
• wengwenchao123 / PM-DMNet
  Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
  ☆15Updated 7 months ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆44Updated last year
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆49Updated 6 months ago