Alternatives and similar repositories for gcgru_stock_prediction

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

• troyyxk / correlation_gcn_lstm_prediction
  A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm
  ☆37Updated 2 years ago
• trytodoit227 / DANSMP
  Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks
  ☆54Updated 3 years ago
• midas-research / sthgcn-icdm
  Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
  ☆42Updated 4 years ago
• zhengzetao / RTGCN
  Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction
  ☆48Updated 4 years ago
• TongjiFinLab / THGNN
  Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
  ☆107Updated last year
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• finint / MAGNN
  Financial time series forecasting with multi-modality graph neural network
  ☆52Updated 2 years ago
• start2020 / Multi-GCGRU
  The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
  ☆58Updated 4 years ago
• shangzongjiang / MAGNN
  ☆107Updated last year
• CMLF-git-dev / CMLF
  Contrastive Multi-granularity Learning for Stock Trend Prediction
  ☆24Updated 4 years ago
• RuichengFIC / ADGAT
  Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
  ☆133Updated 3 years ago
• HFrost0 / TGC_torch
  A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
  ☆46Updated 3 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• Tanny16 / Tensor-based-eLSTM
  ☆26Updated 6 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 3 years ago
• lixiaojieff / HGTAN
  ☆58Updated 4 years ago
• thanhtrunghuynh93 / estimate
  ☆74Updated 3 years ago
• xiaoting135 / TRAN
  ☆19Updated 4 years ago
• SunWeiKeS / DA-RNN
  根据Seanny123复现论文A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction的pytorch代码进行相关修改，适应pytorch1.2版本
  ☆31Updated 5 years ago
• zhangxjohn / Reversible-Instance-Normalization
  Implementation of RevIN is based on TF2.Keras and PyTorch.
  ☆28Updated 2 years ago
• BUAA-WJR / PriceGraph
  Open code for PriceGraph
  ☆73Updated last year
• RRRussell / CauGNN
  ☆14Updated 3 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆134Updated 3 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆89Updated 3 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆96Updated 2 years ago
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 5 years ago
• koa-fin / dva
  Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…
  ☆104Updated last year
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆71Updated 2 years ago
• z1103246 / LSTM-CNN-Stock-Prediction
  An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320
  ☆21Updated 4 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago