Learn how to prepare General Aptitude for GATE 2026 with topic-wise tips, practice strategy, and scoring tricks to boost your ...
The challenge is no longer just about replacing fossil fuels with renewables. It is about re-architecting entire systems to ...
Histology is one of the foundations of modern diagnostics. When physicians want to determine whether tissue is pathologically ...
Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Cancer is marked by remarkable cellular heterogeneity: malignant clones coexist with diverse immune, stromal and vascular elements that continually evolve under therapeutic pressure (1–3).
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...
ABSTRACT: As an appendix of [Gao et al. Sharp isolated toughness bound for fractional ( k,m ) -deleted graphs, Acta Mathematicae Applicatae Sinica, English Series, 2025, 41(1): 252-269], the detailed ...
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