Ajim63 / Attention-Based-Dynamic-Graph-Learning-Framework-for-Asset-Pricing
This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"
☆13Updated 3 years ago
Alternatives and similar repositories for Attention-Based-Dynamic-Graph-Learning-Framework-for-Asset-Pricing:
Users that are interested in Attention-Based-Dynamic-Graph-Learning-Framework-for-Asset-Pricing are comparing it to the libraries listed below
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆39Updated 3 years ago
- ☆38Updated 3 years ago
- ☆54Updated 3 years ago
- combine wavelet transform and attention mechanism for time series forecasting or classification☆29Updated 6 years ago
- Source codes for Time2Graph+ model.☆33Updated 3 years ago
- ☆42Updated 2 years ago
- ☆13Updated 2 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆52Updated 3 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆22Updated 3 years ago
- ☆18Updated 3 years ago
- Code for mixup contrastive learning☆21Updated 3 years ago
- ☆34Updated 2 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Updated last year
- This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…☆29Updated 3 years ago
- ☆20Updated 9 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆76Updated 2 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆11Updated 8 months ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 3 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆17Updated last year
- PyTorch implementation of ESG☆76Updated last year
- repository for accepted paper in BigData 2022 conference☆12Updated last year
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆40Updated last year
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆28Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆78Updated 2 years ago
- Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which i…☆22Updated 4 years ago
- ☆44Updated 2 years ago
- Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)☆30Updated 6 months ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆43Updated 2 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆29Updated 3 years ago