Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains

Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia Gel, Cuneyt Gurcan Akcora

TL;DR: We created the first blockchain ML-Ready dataset platform

Abstract:

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. Chartalist is an open-science initiative at https://github.com/cakcora/Chartalist.

Author Statement: Yes

Dataset Url: https://github.com/cakcora/chartalist

URL: https://github.com/cakcora/chartalist

Contribution Process Agreement: Yes

In Person Attendance: Yes

License: CC BY-NC (Attribution-NonCommercial) license