New Graph Alignment Method Matches Users Across Networks Without Any Labelled Data
Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...
Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...
Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to detect money laundering with 96.68 ...
A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...
Researchers have developed a gradient boosting method that learns sparse oblique rules, producing simpler and more interpretable prediction models with ...
JMIR Publications' latest News and Perspectives features examine digital tools for PMOS care in India, the rise of smart textiles, ...
Researchers have introduced PPFP-Growth, a pattern-growth algorithm that, for the first time, quantifies the probability that a pattern is truly ...
A large-scale study from the University of São Paulo tested three strategies for detecting outliers in categorical and mixed data ...
A new Applied Intelligence study reveals how four types of mathematical concepts in incomplete data tables are structurally connected, enabling ...
A network analysis of Upwork job postings shows the number of skills demanded across continents fell from 328 in 2022 ...
The first PRISMA-compliant systematic review of classifier chains maps seventeen years of multi-label learning research, comparing 18 variants, formalizing error ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine