Demystifying Bitcoin Address Behavior via Graph Neural Networks

Author:

Huang Zhengjie1,Huang Yunyang2,Qian Peng1,Chen Jianhai1,He Qinming1

Affiliation:

1. Zhejiang University,College of Computer Science and Technology,Hangzhou,China

2. UESTC,School of Information and Communication Engineering,Chengdu,China

Publisher

IEEE

Reference84 articles.

1. Are cryptocurrencies criminals best friendsƒ examining the co-evolution of bitcoin and darknet markets;janze,2017

2. N-gcn: Multi-scale graph convolution for semi-supervised node classification;abu-el-haija;Uncertainty in Artificial Intelligence,2020

3. Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics;weber,2019

4. Graph attention networks;veli?kovi?,2017

5. Hidden wholesale: The drug diffusing capacity of online drug cryptomarkets

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. BitLINK: Temporal Linkage of Address Clusters in Bitcoin Blockchain;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. XRAD: Ransomware Address Detection Method based on Bitcoin Transaction Relationships;ACM Transactions on the Web;2024-08-20

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