Without a doubt, blockchain, as one of the most valuable technological advancements, has
been introduced over the past decade and has played a significant role in the industrial …

Non-fungible tokens (NFT) represent one of the most important technologies in the space of
Web3. Thanks to NFTs, digital or physical assets can be tokenised to represent their …

Purpose This paper aims to establish a fundamental and comprehensive understanding of
non-fungible tokens (NFTs) by identifying and structuring common characteristics within a …

Graph Neural Networks (GNNs) are proven to be a powerful machinery for learning complex
dependencies in multivariate spatio-temporal processes. However, most existing GNNs …

Cyptographic tokens are one of the cornerstones of the new blockchain world but the
knowledge about these digital objects is still limited. In this research, we argue that crypto …

In recent years, there has been an increase in the interest in non-fungible tokens (NFT) to
purchase digital art and has shaped a new form of art collecting. The art community has a …

Abstract Non-fungible tokens (NFTs), unique digital assets on a blockchain that can
represent ownership of digital or physical items, are potentially ground-breaking in their …

Purpose The purpose of this paper is to analyse stakeholders' perceptions on the
accounting of crypto-assets. They also look at the need to amend/clarify existing accounting …

When a digital picture, that can be copied and distributed at zero costs, goes on sale for $69
million, something is up: Non-Fungible-Tokens, or simply NFTs, which became one of the …

Graph neural networks (GNNs) offer a new powerful alternative for multivariate time series
forecasting, demonstrating remarkable success in a variety of spatio-temporal applications …