alireza-jafari / GCNET-CodeLinks
GCNET: graph-based prediction of stock price movement using graph convolutional network
☆9Updated 3 years ago
Alternatives and similar repositories for GCNET-Code
Users that are interested in GCNET-Code are comparing it to the libraries listed below
Sorting:
- ☆18Updated 4 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- Open code for PriceGraph☆71Updated last year
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆45Updated 3 years ago
- ☆65Updated 2 years ago
- ☆16Updated 3 years ago
- ☆49Updated 3 years ago
- 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
- Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergrap…☆1Updated 11 months ago
- ☆104Updated 4 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆129Updated 3 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- ☆53Updated 4 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆126Updated 3 years ago
- Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network☆15Updated 4 months ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆53Updated 3 years ago
- ☆54Updated 3 years ago
- ☆27Updated last year
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆46Updated 3 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆159Updated 5 years ago
- ☆12Updated 3 years ago
- ☆40Updated 2 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆29Updated 3 months ago
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆16Updated 3 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 6 years ago
- A curated list of time series prediction resources.☆53Updated 3 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Updated last year
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆25Updated 4 years ago