Alternatives and similar repositories for correlation_gcn_lstm_prediction

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

• troyyxk / gcgru_stock_prediction
  ☆21Updated last year
• finint / MAGNN
  Financial time series forecasting with multi-modality graph neural network
  ☆51Updated last year
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• start2020 / Multi-GCGRU
  The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
  ☆57Updated 4 years ago
• midas-research / sthgcn-icdm
  Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
  ☆42Updated 4 years ago
• sdsz20142087 / GCN_stock_price_prediction
  ☆15Updated 4 years ago
• nikgeokar / tgcn_lstm_for_crypto_forecasting
  This repository contains code and notebooks for a project focused on cryptocurrency price prediction. The project aims to explore and com…
  ☆21Updated 11 months ago
• zhengzetao / RTGCN
  Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction
  ☆47Updated 4 years ago
• RuichengFIC / ADGAT
  Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
  ☆132Updated 3 years ago
• CMLF-git-dev / CMLF
  Contrastive Multi-granularity Learning for Stock Trend Prediction
  ☆24Updated 4 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 5 years ago
• TongjiFinLab / THGNN
  Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
  ☆97Updated last year
• xiaoting135 / TRAN
  ☆19Updated 4 years ago
• lixiaojieff / HGTAN
  ☆57Updated 4 years ago
• Tanny16 / Tensor-based-eLSTM
  ☆26Updated 5 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆22Updated 4 years ago
• shangzongjiang / MAGNN
  ☆102Updated 10 months 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
• JoshuaWu1997 / EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
  Multi-Factor Stock Profit Prediction Using EMD-ALSTM
  ☆29Updated 6 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆102Updated 3 years ago
• dmis-lab / hats
  HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
  ☆162Updated 5 years ago
• shrey920 / MultivariateTimeSeriesForecasting
  This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…
  ☆17Updated 6 years ago
• ProfiterolePuff / ML_ANN_Crypto_Stock_Prediction
  Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…
  ☆21Updated last year
• sashanksridhar / Multi-Head-Self-Attention-Transformer-for-Dogecoin-Price-Prediction
  ☆10Updated 4 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆180Updated last year
• t-corato / GA-TCN
  Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection
  ☆33Updated 5 years ago
• BUAA-WJR / PriceGraph
  Open code for PriceGraph
  ☆73Updated last year
• HFrost0 / TGC_torch
  A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
  ☆45Updated 3 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