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Predicting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach. (arXiv:2210.15493v1 [q-fin.CP])
Oct. 28, 2022, 1:11 a.m. | Wesley Joon-Wie Tann, Akhil Vuputuri, Ee-Chien Chang
cs.LG updates on arXiv.org arxiv.org
Non-fungible tokens (NFTs) are digital assets stored on a blockchain
representing real-world objects such as art or collectibles. It is a
multibillion-dollar market, where the number of NFT collections increased over
100% in 2022; there are currently more than 80K collections on the Ethereum
blockchain. Each collection, containing numerous tokens of a particular theme,
has its unique characteristics. In this paper, we take a contextual generative
approach that learns these diverse characteristics of NFT collections and
generates the potential market …
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