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.