HFrost0 / TGC_torchLinks
A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
☆45Updated 3 years ago
Alternatives and similar repositories for TGC_torch
Users that are interested in TGC_torch are comparing it to the libraries listed below
Sorting:
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆130Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆56Updated 3 years ago
- ☆105Updated 4 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆46Updated 4 years ago
- ☆67Updated 2 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆161Updated 5 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- ☆53Updated 3 years ago
- ☆53Updated 5 years ago
- Open code for PriceGraph☆71Updated last year
- ☆19Updated 4 years ago
- This is the project for deep learning in stock market prediction.☆226Updated 7 months ago
- ☆55Updated 3 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆177Updated 5 years ago
- A curated list of time series prediction resources.☆54Updated 3 years ago
- Implementation of AAAI-24 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergrap…☆1Updated last year
- Reproduce AAAI22-FactorVAE☆66Updated last year
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆54Updated 3 years ago
- ☆65Updated 4 years ago
- FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks☆126Updated 4 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆100Updated 7 months ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆29Updated 5 months ago
- This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.☆130Updated 7 months ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆98Updated last year
- Financial time series forecasting with multi-modality graph neural network☆46Updated last year
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction☆93Updated last year
- Papers for AI + quantitative investment☆122Updated 10 months ago
- Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts☆30Updated 3 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆31Updated 3 years ago