AI RESEARCH
Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
arXiv CS.LG
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ArXi:2603.06625v1 Announce Type: new Pavement condition data is important in providing information regarding the current state of the road network and in determining the needs of maintenance and rehabilitation treatments. However, the condition data is often incomplete due to various reasons such as sensor errors and non-periodic inspection schedules. Missing data, especially data missing systematically, presents loss of information, reduces statistical power, and