Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview
Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests
from both industrial and academic communities. With its rapid development, the …
from both industrial and academic communities. With its rapid development, the …
Analysis of cryptocurrency transactions from a network perspective: An overview
As one of the most important and famous applications of blockchain technology,
cryptocurrency has attracted extensive attention recently. Empowered by blockchain …
cryptocurrency has attracted extensive attention recently. Empowered by blockchain …
Chainnet: Learning on blockchain graphs with topological features
With emergence of blockchain technologies and the associated cryptocurrencies, such as
Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly …
Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly …
Bitcoin transaction forecasting with deep network representation learning
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 …
most disruptive technology in the 21st century. This article presents a novel approach to …
Complex network analysis of the bitcoin transaction network
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 …
particular, we design a new sampling method, namely random walk with flying-back …
T-edge: Temporal weighted multidigraph embedding for ethereum transaction network analysis
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 …
networks, but most of the existing embedding methods omit the network dynamics and the …
Ethereum fraud behavior detection based on graph neural networks
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 …
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
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 …
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
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 …
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 …
network characteristics, and it is also applied to blockchain, but most of the embedding …