April 2, 2024, 7:42 p.m. | Junliang Luo, Stefan Kitzler, Pietro Saggese

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.00034v1 Announce Type: cross
Abstract: We explore the adoption of graph representation learning (GRL) algorithms to investigate similarities across services offered by Decentralized Finance (DeFi) protocols. Following existing literature, we use Ethereum transaction data to identify the DeFi building blocks. These are sets of protocol-specific smart contracts that are utilized in combination within single transactions and encapsulate the logic to conduct specific financial services such as swapping or lending cryptoassets. We propose a method to categorize these blocks into clusters …

abstract adoption algorithms arxiv building combination cs.lg data decentralized defi ethereum explore finance financial graph graph representation identify literature protocol q-fin.gn q-fin.st representation representation learning services smart smart contracts transaction data type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571