start2020 / Multi-GCGRULinks
The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
☆54Updated 3 years ago
Alternatives and similar repositories for Multi-GCGRU
Users that are interested in Multi-GCGRU are comparing it to the libraries listed below
Sorting:
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆129Updated 3 years ago
- ☆53Updated 4 years ago
- ☆104Updated 4 years ago
- Open code for PriceGraph☆71Updated last year
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆54Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆46Updated 3 years ago
- ☆54Updated 3 years ago
- ☆52Updated 3 years ago
- ☆65Updated 2 years ago
- ☆19Updated 4 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆159Updated 5 years ago
- Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergrap…☆1Updated last year
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- A curated list of time series prediction resources.☆54Updated 3 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆175Updated 5 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- ☆65Updated 4 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆126Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆29Updated 4 months ago
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆45Updated last year
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆98Updated 6 months ago
- Financial time series forecasting with multi-modality graph neural network☆46Updated last year
- This is the project for deep learning in stock market prediction.☆225Updated 6 months ago
- Reproduce AAAI22-FactorVAE☆66Updated last year
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆31Updated 3 years ago
- ☆26Updated 5 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆98Updated last year
- The code of PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability☆23Updated 2 years ago
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆16Updated 3 years ago