Cross-Modal Temporal Graph Transformers for Explainable NFT Valuation and Information-Centric Risk Forecasting in Web3 Markets

NFT prices are shaped by heterogeneous signals including visual appearance, textual narratives, transaction trajectories, and on-chain interactions, yet existing studies often model these factors in isolation and rarely unify multimodal alignment, temporal non-stationarity, and heterogeneous relatio...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Fang Lin, Yitong Yang, Jianjun He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
coleção:	Information
Assuntos:	cross-modal fusion temporal–graph transformers heterogeneous graph modeling time-series forecasting explainable AI risk-aware learning
Acesso em linha:	https://www.mdpi.com/2078-2489/17/2/112
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!