| contributor author | Toğan, Vedat | |
| contributor author | Mostofi, Fatemeh | |
| contributor author | Tokdemir, Onur Behzat | |
| date accessioned | 2026-08-20T10:41:33Z | |
| date available | 2026-08-20T10:41:33Z | |
| date copyright | 2026/02/06 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-17244.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311131 | |
| description 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Evaluating the Resilience of Graph Neural Network Architectures to Adversarial and Noisy Data in High-Stakes Construction Project Management | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 4 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-17244 | |
| journal fristpage | 04026029-1 | |
| journal lastpage | 04026029-16 | |
| page | 16 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 004 | |
| contenttype | Fulltext | |
