Alternatives and similar repositories for CauGNN:

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

• stonetre / LPGNN
  Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…
  ☆25Updated 2 years ago
• yiminghzc / MDST-GNN
  a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …
  ☆32Updated 2 years ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆57Updated 7 months ago
• decisionintelligence / MTSF-DG
  ☆20Updated 9 months ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆31Updated 6 months ago
• Z-GCNETs / Z-GCNETs
  ☆38Updated 3 years ago
• RRRussell / MTHetGNN
  ☆8Updated 2 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 4 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆78Updated 2 years ago
• chenfei0328 / mWDN-RCF
  Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
  ☆32Updated 5 years ago
• razvanc92 / triformer
  ☆25Updated 2 years ago
• tysonpond / symbolic-transfer-entropy
  My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.
  ☆11Updated 5 years ago
• shangzongjiang / MAGNN
  ☆89Updated last month
• haoshileii / micos
  ☆9Updated 2 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆33Updated 3 years ago
• AI4CTS / lightcts
  ☆36Updated 6 months ago
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆72Updated 7 months ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆17Updated 5 years ago
• liuxz1011 / TodyNet
  TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
  ☆61Updated last year
• alipay / RGSL
  ☆44Updated 2 years ago
• RRRussell / MTPool
  ☆12Updated 2 years ago
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆20Updated 5 months ago
• Water2sea / WITRAN
  Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…
  ☆33Updated last year
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 6 months ago
• brunoklein99 / deepar
  An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
  ☆34Updated 6 years ago
• DAMO-DI-ML / CIKM22-TFAD
  Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
  ☆52Updated 2 years ago
• QiweiMa-LL / STAGCN
  A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning
  ☆20Updated 2 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 3 years ago
• zhangxjohn / Reversible-Instance-Normalization
  Implementation of RevIN is based on TF2.Keras and PyTorch.
  ☆26Updated last year