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 …

The outbreak of the novel corona virus has heightened concerns surrounding the adverse
financial effects of the outbreak on stock market liquidity and economic policies. This paper …

As one of the most typical cybercrime types, phishing scams have extended the devil's hand
to the emerging blockchain ecosystem in recent years. Especially huge economic losses …

With the rapid development of decentralized financial (DeFi), the total value locked (TVL) in
DeFi continues to increase. A big number of adversaries exploit logic vulnerabilities to attack …

In recent years, heterogeneous graph neural networks have been applied to the analysis of
complex networks, and in ethereum transaction, fraudsters disguise themselves as normal …

Modeling and predicting the behavior of nodes and users in blockchains provide
opportunities for business strategy optimization. Indeed, the number of interactions of a node …

The popularity of blockchain platforms and their applications in industry and academia
keeps rising. The multifarious requirements stimulate another technique, graph data and …

In this paper, we use the methods of networks science to analyse the transaction networks of
tokens running on the Ethereum blockchain. We start with a deep dive on four of them …

As the most ecologically active cryptocurrency platform, Ethereum has attracted the attention
of many researchers. Leveraging its fully public transaction data, most existing analysis …

Geopolitical conflicts significantly impact financial networks and systems, eg, Russia and
Ukraine. Cryptoeconomic blockchains such as Bitcoin and Ethereum were introduced as …