start2020 / Multi-GCGRULinks
The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
☆58Updated 4 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☆133Updated 3 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- Open code for PriceGraph☆73Updated last year
- ☆19Updated 4 years ago
- ☆57Updated 4 years ago
- ☆72Updated 3 years ago
- ☆54Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆47Updated 4 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆54Updated 3 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆163Updated 6 years ago
- ☆107Updated 4 years ago
- ☆53Updated 5 years ago
- A curated list of time series prediction resources.☆54Updated 4 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆181Updated 6 years ago
- ☆66Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆33Updated 9 months ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆42Updated 4 years ago
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆47Updated 2 years ago
- Financial time series forecasting with multi-modality graph neural network☆52Updated last year
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆33Updated 3 years ago
- This is the project for deep learning in stock market prediction.☆228Updated 11 months ago
- Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts☆31Updated 3 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆130Updated 4 years ago
- Reproduce AAAI22-FactorVAE☆68Updated 2 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆109Updated 11 months ago
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆37Updated 2 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 5 years ago
- ☆33Updated last year
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆17Updated 3 years ago