☆58Oct 29, 2021Updated 4 years ago
Alternatives and similar repositories for HGTAN
Users that are interested in HGTAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19May 22, 2021Updated 4 years ago
- ☆16Oct 6, 2021Updated 4 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆166Dec 2, 2019Updated 6 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆43Jun 13, 2021Updated 4 years ago
- ☆110Jun 8, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆134Apr 20, 2022Updated 3 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆55Apr 24, 2022Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆59Aug 17, 2021Updated 4 years ago
- ☆53Jul 30, 2020Updated 5 years 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
- ☆77Nov 16, 2022Updated 3 years ago
- This is the project for deep learning in stock market prediction.☆230Dec 23, 2024Updated last year
- ☆15Feb 26, 2024Updated 2 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆521Mar 4, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Infor…☆292Jan 13, 2023Updated 3 years ago
- [ACL 2021-Findings] Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading."☆123Sep 11, 2021Updated 4 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Jul 11, 2021Updated 4 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 5 years ago
- ☆66Apr 13, 2021Updated 4 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Feb 28, 2021Updated 5 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24May 27, 2021Updated 4 years ago
- Papers for AI + quantitative investment☆138Sep 12, 2024Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆106Jul 3, 2024Updated last year
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to …☆20Sep 24, 2024Updated last year
- Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…☆20Dec 15, 2023Updated 2 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆33Dec 15, 2021Updated 4 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆113Dec 25, 2024Updated last year
- Awesome time series forecasting papers and codes☆238Oct 18, 2025Updated 5 months ago
- Reinforcement Learning framework to make synthetic experiments in the financial domain☆23Jul 18, 2023Updated 2 years ago
- Unofficial PyTorch implementation of FactorVAE☆21Jun 1, 2023Updated 2 years ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated last year
- Accepted at WWW 25 Industrial Track (oral)☆17Jun 6, 2025Updated 9 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆26Dec 9, 2019Updated 6 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
- Fintech literature, including journal, conference, book and useful links☆100Aug 27, 2022Updated 3 years ago
- PyTorch implementation of FactorVAE☆94Nov 21, 2024Updated last year
- A curated list of time series prediction resources.☆54Dec 4, 2021Updated 4 years ago
- ☆54Apr 2, 2022Updated 3 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Aug 21, 2020Updated 5 years ago