Evaluating the Resilience of Graph Neural Network Architectures to Adversarial and Noisy Data in High-Stakes Construction Project Management

Abstract

AbstractHigh-stakes mega-construction projects present a challenging environment for decision-support models, as they are exposed to risks from both deliberate attacks and unintentional errors. These vulnerabilities can degrade model performance, leading ...