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Evaluating the Resilience of Graph Neural Network Architectures to Adversarial and Noisy Data in High-Stakes Construction Project Management
Publisher: American Society of Civil Engineers
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 ...
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