awesome-of-time-series-prediction
github.com/zzw-zwzhang/awesome-of-time-series-prediction ↗A curated list of time series prediction resources.
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Curated Resources
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21 hours ago
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202120202019201820172016Previous VenuesarXivAwesome RepositoriesAwesome SurveysAwesome BlogsAwesome DatasetsAwesome Code
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2021
- Adjusting for Autocorrelated Errors in Neural Networks for Time Series
NeurIPS
- A Study of Joint Graph Inference and Forecasting
ICML-W
- Bayesian Temporal Factorization for Multidimensional Time Series Prediction
TPAMI
- Discrete Graph Structure Learning for Forecasting Multiple Time Series
ICLR
- End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
ICML
- Financial time series forecasting with multi-modality graph neural network
PR
2017
2018
- A Memory-Network Based Solution for Multivariate Time-Series Forecasting
AAAI
- Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
CIKM
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
WSDM
- Stock Movement Prediction from Tweets and Historical Prices
ACL
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
TNNLS
2019
- A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning
AS
- CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
IJCAI
- Cogra: Concept-drift-aware Stochastic Gradient Descent for Time-series Forecasting
AAAI
- DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
NeurIPS
- Enhancing Stock Movement Prediction with Adversarial Training
IJCAI
- Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
NeurIPS-W
Awesome Surveys
- Applications of deep learning in stock market prediction: Recent progress
- Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
- Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
- Natural language based financial forecasting: a survey
2020
- A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
IJCAI-FinTech
- Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
AAAI
- Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
KDD
- Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations
EMNLP
- Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting
WWW
- Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
IJCAI
arXiv
- Artificial intelligence prediction of stock prices using social media
2021.01.22
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
2019.11.12
- Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
2020.10.26
- Multivariate Time Series Imputation by Graph Neural Networks
2021.09.23
- Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
2021.04.23
- Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Networks
2021.07.02
Showing a sample of 78 resources. View the full list on GitHub →