finint / MAGNN
Financial time series forecasting with multi-modality graph neural network
☆42Updated last year
Alternatives and similar repositories for MAGNN:
Users that are interested in MAGNN are comparing it to the libraries listed below
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction☆79Updated 11 months ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆42Updated 3 years ago
- ☆19Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆39Updated 3 years ago
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆35Updated last year
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆42Updated last year
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆44Updated 2 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆50Updated 2 years ago
- ☆21Updated 9 months ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆23Updated 3 years ago
- ☆54Updated 3 years ago
- PyTorch implementation of ESG☆77Updated 2 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆126Updated 2 years ago
- Open code for PriceGraph☆69Updated 10 months ago
- ☆10Updated last year
- 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
- ☆62Updated 2 years ago
- Awesome financial time series forecasting papers and codes☆62Updated 2 weeks ago
- ☆27Updated 5 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆123Updated 3 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆80Updated 2 years ago
- ☆52Updated 4 years ago
- Paper collection for graph based models in finance application☆101Updated 3 years ago
- ☆89Updated 3 months ago
- ☆101Updated 3 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆92Updated 8 months ago
- ☆17Updated 10 months ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆82Updated 5 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆88Updated last month