Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains
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发表时间：
2022
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通讯作者：
Kiarash Shamsi;Friedhelm Victor;Murat Kantarcioglu;Y. Gel;C. Akcora
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作者：
Kiarash Shamsi;Friedhelm Victor;Murat Kantarcioglu;Y. Gel;C. Akcora
区块链图上的机器学习是一个新兴领域，有许多应用，如勒索软件支付跟踪、价格操纵分析和洗钱检测。然而，分析区块链数据需要领域专业知识和计算资源，这构成了一个重大障碍，阻碍了该领域的发展。我们推出了Chartalist，这是第一个全面的平台，可以在大量区块链中有条不紊地访问和使用机器学习来应对这一挑战。Chartalist包含来自未使用交易输出（UTXO）的ML就绪数据集（例如，比特币）和基于账户的区块链（例如，Ethereum）。我们设想Chartalist可以促进区块链数据的数据建模，分析和表示，并吸引更广泛的科学家社区来分析区块链。Chartalist是一个可持续的开放科学倡议，网址是https://github.com/cakcora/ Chartalist。
Machine learning on blockchain graphs is an emerging field with many applications such as ransomware payment tracking, price manipulation analysis, and money laundering detection. However, analyzing blockchain data requires domain expertise and computational resources, which pose a significant barrier and hinder advancement in this field. We introduce Chartalist, the first comprehensive platform to methodically access and use machine learning across a large selection of blockchains to address this challenge. Chartalist contains ML-ready datasets from unspent transaction output (UTXO) (e.g., Bitcoin) and account-based blockchains (e.g., Ethereum). We envision that Chartalist can facilitate data modeling, analysis, and representation of blockchain data and attract a wider community of scientists to analyze blockchains. Chartal-ist is a sustainable open-science initiative at https://github.com/cakcora/ Chartalist .