This data is used in “Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision” for Ethereum fraud detection research. It is extracted and constructed from the Ethereum transaction records.
The data altogether extracts the two-hop neighbors of the target node and distinguishes between accounts and interaction types to form a heterogeneous Ethereum interaction graph (HEIG).
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If you find this work useful, please cite the following:
@article{jin2024enhancing,
title={Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision},
author={Jin, Chenxiang and Zhou, Jiajun and Xie, Chenxuan and Yu, Shanqing and Xuan, Qi and Yang, Xiaoniu},
journal={arXiv preprint arXiv:2408.00641},
year={2024}
}