Construction of Cryptocurrency Price Prediction Model Based on Graph Neural Network

Andi Wang

doi:10.54097/b2hzrg74

Authors

Andi Wang

DOI:

https://doi.org/10.54097/b2hzrg74

Keywords:

Graph Neural Network, Cryptocurrency, Price forecast

Abstract

With the rapid development of the cryptocurrency market, the high volatility and complex correlation of cryptocurrency prices have had a profound impact on the security and stability of financial markets. This article proposes a cryptocurrency price prediction model based on graph neural networks. The experiment selects historical data of mainstream cryptocurrencies such as Bitcoin and Ethereum. The comparison results show that graph neural networks can effectively capture the dynamic trend of cryptocurrency prices, providing more reliable decision support for cryptocurrency market investors and regulatory agencies.

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