Probabilistic Graph Neural Inference for coastal climate resilience planning for extreme data sparsity scenarios

Probabilistic Graph Neural Inference for coastal climate resilience planning for extreme data sparsity scenarios Introduction: The Data Desert Dilemma I remember the exact moment when the problem crystallized for me. I was sitting in a coastal management workshop in Southeast Asia, watching local officials struggle with a critical decision: where to allocate limited resources for sea wall reinforcement ahead of the monsoon season. Their challenge wasn't just about engineering or climate models—it was about data. Or rather, the profound lack of it. Some communities had decades of detailed tidal measurements, infrastructure assessments, and population mobility patterns. Others had nothing but anecdotal observations and a few scattered measurements taken during rare site visits. This experience sparked a research obsession that has consumed me for the past three years. How do we build resilient systems when our data resembles Swiss cheese more than a complete dataset? While exploring trad