troyyxk / gcgru_stock_predictionLinks
☆21Updated last year
Alternatives and similar repositories for gcgru_stock_prediction
Users that are interested in gcgru_stock_prediction are comparing it to the libraries listed below
Sorting:
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆37Updated 2 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆53Updated 3 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆42Updated 4 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆57Updated 4 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆47Updated 4 years ago
- Financial time series forecasting with multi-modality graph neural network☆51Updated last year
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction☆97Updated last year
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆132Updated 3 years ago
- 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
- ☆102Updated 10 months ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Updated 5 years ago
- ☆57Updated 4 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆103Updated last year
- Open code for PriceGraph☆73Updated last year
- PyTorch implementation of ESG☆90Updated 2 years ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- ☆15Updated 4 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- ☆26Updated 5 years ago
- Time-series forecasting with GNNs☆42Updated last year
- ☆72Updated 2 years ago
- ☆42Updated 5 years ago
- 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
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆113Updated 5 years ago
- This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"☆14Updated 3 years ago
- ☆16Updated 3 years ago
- Multivariate Time Series Forecasting with Graph Neural Networks☆13Updated 3 years ago
- Implementation of RevIN is based on TF2.Keras and PyTorch.☆27Updated 2 years ago
- Pytorch code for Google's Temporal Fusion Transformer☆102Updated 3 years ago