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Open access Aug 2026

Efficient Software Vulnerability Detection Using Edge-Conditioned Graph Neural Networks on Heterogeneous Code Property Graphs

The significance of this work lies in its demonstration that a compact, edge-aware architecture can match independently reproduced results of far larger models while remaining deployable in resource-constrained settings, such as continuous-integration pipelines and developer workstations.

A. Elalfy, G. Ebrahim, M. B. Mansour · 0 citations
#graph neural networks Open access Aug 2026

A Lightweight Hybrid Graph-Neural-Network and Heuristic Framework for Practical Software Vulnerability Assessment in Production Codebases

The significance of this work lies in demonstrating that a deployable, explainable detector can be assembled from compact components, and an edge-type ablation study, a cross-dataset evaluation, and a per-vulnerability analysis are reported to characterize the approach.

A. Elalfy, G. Ebrahim, M. B. Mansour · 0 citations

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