nikgeokar / tgcn_lstm_for_crypto_forecastingLinks
This repository contains code and notebooks for a project focused on cryptocurrency price prediction. The project aims to explore and compare different machine learning approaches, including graph neural networks (GNNs) and Long Short-Term Memory (LSTM) models, to forecast cryptocurrency prices accurately.
☆20Updated 9 months ago
Alternatives and similar repositories for tgcn_lstm_for_crypto_forecasting
Users that are interested in tgcn_lstm_for_crypto_forecasting are comparing it to the libraries listed below
Sorting:
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆37Updated 2 years ago
- ☆96Updated 8 months ago
- ☆21Updated last year
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction☆95Updated last year
- ☆99Updated 2 months 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
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆12Updated last year
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆33Updated 3 years ago
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆12Updated last year
- ☆11Updated 9 months ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆46Updated 4 years ago
- ☆10Updated 3 years ago
- Multivariate Time Series Forecasting with Graph Neural Networks☆13Updated 3 years ago
- Multivariate Time Series Repository☆67Updated last year
- ☆38Updated 2 years ago
- Financial time series forecasting with multi-modality graph neural network☆46Updated last year
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated last year
- This is code for Multi-period Learning for Financial Time Series Forecasting (MLF, published in KDD 2025), which incorporates multiple in…☆15Updated 7 months ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆113Updated 5 years ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆72Updated 2 years ago
- UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model☆53Updated last year
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆66Updated 5 months ago
- Transformer based model for time series prediction☆130Updated 3 years ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆69Updated 3 months ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆34Updated 3 years ago
- LCDFormer☆10Updated last year
- ☆38Updated last year
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆25Updated 2 years ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆48Updated 2 years ago