Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview

Y Zhou, X Luo, MC Zhou - IEEE/CAA Journal of Automatica …, 2023 - ieeexplore.ieee.org
Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests
from both industrial and academic communities. With its rapid development, the …

Analysis of cryptocurrency transactions from a network perspective: An overview

J Wu, J Liu, Y Zhao, Z Zheng - Journal of Network and Computer …, 2021 - Elsevier
As one of the most important and famous applications of blockchain technology,
cryptocurrency has attracted extensive attention recently. Empowered by blockchain …

Chainnet: Learning on blockchain graphs with topological features

NC Abay, CG Akcora, YR Gel… - … conference on data …, 2019 - ieeexplore.ieee.org
With emergence of blockchain technologies and the associated cryptocurrencies, such as
Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly …

Bitcoin transaction forecasting with deep network representation learning

W Wei, Q Zhang, L Liu - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
Bitcoin and its decentralized computing paradigm for digital currency trading are one of the
most disruptive technology in the 21st century. This article presents a novel approach to …

Complex network analysis of the bitcoin transaction network

B Tao, HN Dai, J Wu, IWH Ho, Z Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this brief, we conduct a complex-network analysis of the Bitcoin transaction network. In
particular, we design a new sampling method, namely random walk with flying-back …

T-edge: Temporal weighted multidigraph embedding for ethereum transaction network analysis

D Lin, J Wu, Q Yuan, Z Zheng - Frontiers in Physics, 2020 - frontiersin.org
Recently, graph embedding techniques have been widely used in the analysis of various
networks, but most of the existing embedding methods omit the network dynamics and the …

Ethereum fraud behavior detection based on graph neural networks

R Tan, Q Tan, Q Zhang, P Zhang, Y Xie, Z Li - Computing, 2023 - Springer
Since Bitcoin was first conceived in 2008, blockchain technology has attracted a large
amount of researchers' attention. At the same time, it has also facilitated a variety of …

Demystifying fraudulent transactions and illicit nodes in the bitcoin network for financial forensics

Y Elmougy, L Liu - Proceedings of the 29th ACM SIGKDD Conference …, 2023 - dl.acm.org
Blockchain provides the unique and accountable channel for financial forensics by mining
its open and immutable transaction data. A recent surge has been witnessed by training …

Detecting mixing services via mining bitcoin transaction network with hybrid motifs

J Wu, J Liu, W Chen, H Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As the first decentralized peer-to-peer (P2P) cryptocurrency system allowing people to trade
with pseudonymous addresses, Bitcoin has become increasingly popular in recent years …

Heterogeneous network representation learning approach for ethereum identity identification

Y Wang, Z Liu, J Xu, W Yan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, network representation learning has been widely used to mine and analyze
network characteristics, and it is also applied to blockchain, but most of the embedding …