The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
☆58Aug 17, 2021Updated 5 years ago
Alternatives and similar repositories for Multi-GCGRU
Users that are interested in Multi-GCGRU are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆170Dec 2, 2019Updated 6 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆42Jun 13, 2021Updated 5 years ago
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆51Sep 18, 2023Updated 3 years ago
- ☆19May 22, 2021Updated 5 years ago
- Open code for PriceGraph☆74May 5, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆61Oct 29, 2021Updated 4 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆528Mar 4, 2021Updated 5 years ago
- ☆16Oct 6, 2021Updated 4 years ago
- This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…☆22Jul 19, 2021Updated 5 years ago
- This project provides the source code of the paper "Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (IEEE TKDE 2020)".☆17Jun 30, 2020Updated 6 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆136Apr 20, 2022Updated 4 years ago
- ☆66Apr 13, 2021Updated 5 years ago
- The code of PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability☆29Apr 3, 2023Updated 3 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Aug 21, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆39Mar 30, 2023Updated 3 years ago
- ☆16Jan 11, 2021Updated 5 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆18May 19, 2023Updated 3 years ago
- ☆111Jun 8, 2021Updated 5 years ago
- This is the project for deep learning in stock market prediction.☆232Dec 23, 2024Updated last year
- This is the repository for the collection of Graph Neural Network for Financial Technology.☆28Jan 4, 2022Updated 4 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆55Apr 24, 2022Updated 4 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆107Jul 3, 2024Updated 2 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆46Apr 13, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network☆14Feb 25, 2025Updated last year
- The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Infor…☆304Jan 13, 2023Updated 3 years ago
- ☆40Jun 13, 2023Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆53Jul 20, 2021Updated 5 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Sep 5, 2024Updated 2 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆20Dec 8, 2022Updated 3 years ago
- This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"☆14Dec 13, 2021Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆34Feb 28, 2025Updated last year
- ☆10Oct 11, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Mar 12, 2021Updated 5 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆110May 16, 2025Updated last year
- Stock Price(Candlestick, Chart) Pattern Modeling(Detection)☆16Jun 18, 2026Updated 3 months ago
- Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based M…☆22Dec 24, 2021Updated 4 years ago
- implementation of ACL2018: Stock Movement Prediction from Tweets and Historical Prices☆12Nov 19, 2018Updated 7 years ago
- Paper collection for graph based models in finance application☆117Apr 27, 2021Updated 5 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆25May 27, 2021Updated 5 years ago