SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

VGC-GAN: A multi-graph convolution adversarial network for stock price prediction · Study

ArticleShelves

ArticleVGC-GAN: A multi-graph convolution adversarial network for stock price prediction

Dongbo Ma2023

Article2023

VGC-GAN: A multi-graph convolution adversarial network for stock price prediction

Dongbo Ma · Yuan Da · Maojun Huang · Ling Dong

58 citations·0/0 files stored·Expert Systems with Applications

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Stock Market Forecasting Methods Financial Markets and Investment Strategies Time Series Analysis and Forecasting

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 58 citations exist upstream.

References

1986Generalized autoregressive conditional heteroskedasticity 1970Efficient Capital Markets: A Review of Theory and Empirical Work n.d.Forecasting principles and practice 2019CNNpred: CNN-based stock market prediction using a diverse set of variables 2020Deep learning for financial applications : A survey 2005The use of data mining and neural networks for forecasting stock market returns 2018Predicting the direction of stock market prices using tree-based classifiers 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

Cited by

2024Enhancing stock market Forecasting: A hybrid model for accurate prediction of S&P 500 and CSI 300 future prices 2024A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2022ML-GAT:A Multilevel Graph Attention Model for Stock Predictionarticle · 9 shared references 2024A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecastingreview · 8 shared references 2021Stock Price Forecast Based on CNN-BiLSTM-ECA Modelarticle · 7 shared references 2024Data-driven stock forecasting models based on neural networks: A reviewarticle · 6 shared references 2022A survey on machine learning models for financial time series forecastingarticle · 5 shared references 2023Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Modelsarticle · 5 shared references

Details

Year2023

Typearticle

Published2023-08-23

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations58

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.eswa.2023.121204

openalex_workW4386087147

Links

Imported from OpenAlex (CC0) — nothing here is generated.