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
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆57Updated 8 months 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
• RRRussell / MTHetGNN
  ☆8Updated 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
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆32Updated 7 months ago
• AI4CTS / lightcts
  ☆36Updated 7 months 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
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 5 years ago
• RRRussell / MTPool
  ☆12Updated 2 years ago
• shangzongjiang / MAGNN
  ☆89Updated 2 months ago
• DAMO-DI-ML / CIKM22-TFAD
  Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
  ☆53Updated 2 years ago
• LiamMaclean216 / Pytorch-Chatbot
  ☆18Updated 4 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆80Updated 2 years ago
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆22Updated 6 months ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆33Updated 3 years ago
• davidanastasiu / NECPlus
  NECPlus
  ☆18Updated last year
• huipingcao / nmsu_yhao_ijcai2020
  This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…
  ☆29Updated 3 years ago
• razvanc92 / triformer
  ☆25Updated 2 years ago
• KDDtest / SCNN
  ☆11Updated 10 months ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• galib19 / DeepExtrema-IJCAI22-
  ☆11Updated 8 months ago
• haoshileii / micos
  ☆9Updated 2 years ago
• decisionintelligence / MTSF-DG
  ☆21Updated 10 months ago
• sheoyon-jhin / CONTIME
  Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization
  ☆28Updated 5 months ago
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆74Updated 8 months ago
• vighnesh-21 / Traffic-Forecasting-using-Graph-Convolution-LSTM-model
  Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…
  ☆25Updated 4 years ago
• 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
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆63Updated last year