KG-HiAttention: synergizing AI-based knowledge graphs and deep learning for explainable software vulnerability analysis

Software vulnerability analysis is critical for maintaining secure and reliable systems, yet traditional Deep Learning (DL) models often act as “black boxes,” lacking transparency and failing to leverage the explicit structural semantics of code. In this paper, we propose KG-HiAttention, a novel neu...

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Hlavní autoři:	Francisco Pinto-Santos, Carolina Zato, Héctor Quintián, Tian Cheng Li, Pablo Chamoso
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-05-01
Edice:	Frontiers in Artificial Intelligence
Témata:	AI-based knowledge graphs code property graph CodeT5 explainable AI (XAI) graph attention networks neuro-symbolic AI
On-line přístup:	https://www.frontiersin.org/articles/10.3389/frai.2026.1794125/full
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