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#graph neural networks Open access Oct 2026

SAGE: Signal-Amplified Guided Embeddings for Vulnerability Detection

Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detection, the emergence of Large Language Models (LLMs) has introduced a transformative paradigm driven by superior semantic reasoning and cross-e...

Zhengyang Shan, Xu Qian, Jiayun Xin et al. · 0 citations
#diffusion models Open access Sep 2026

Multimodal profiling uncovers an aging-associated ETS1-MYO1B vascular niche responsive to ipragliflozin

Background Tissue aging involves complex changes in vascular, immune, and stromal compartments that collectively reshape the local tissue ecosystem and may contribute to age-related diseases, including cancer, fibrotic diseases, and cardiovascular disease. However, it remains unclear whether reproducible, cell-specific...

Mingzhu Jin, Yue Zhang, Haien Wu et al. · 0 citations
#software testing Review Open access Sep 2026

Association between the triglyceride glucose-body mass index and the risk of incident type 2 diabetes: a systematic review and meta-analysis

Objective The rising prevalence of type 2 diabetes (T2D) has created a huge global public health burden. Although triglyceride glucose-body mass index (TyG-BMI) has been associated with incident T2D risk in observational studies, the overall evidence remains to be systematically evaluated. Methods This study systematic...

Bo Dai, Hang Yu, Haotian Qi et al. · 0 citations

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