Nature

Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text Matching

Abstract: Image-text matching remains challenging in big data processing. Matching accuracy is influenced by various factors, including the correlation between images and texts, feature extraction and ...
Nature

A scalable approach to investigating sequence-to-function predictions from personal genomes

Sequence-to-function (S2F) models can evaluate arbitrary DNA sequences, yet they struggle to fully capture inter-individual variation in gene expression. We introduce SAGE-net, a scalable framework ...
IEEE

Graph Model for Conflict Resolution for Mixed-Stability Combinatorial Foresight Based on the Combination of Regret Theory and VIKOR Method

Abstract: The graph model for conflict resolution (GMCR) is a branch of decision-making; therefore, how to scientifically abstract the evaluative thinking of decision-makers (DMs) has always been a ...