Impact function generator for geospatial climate hazards

Abstract

An embodiment for generating impact functions for geospatial climate hazards based on user interactions. The embodiment may receive input data associated with a target geospatial climate hazard and a corresponding asset, the input data including one or more of a first dataset corresponding to a predetermined set of prompts, and a second dataset corresponding to a natural language exchange. The embodiment may generate, based on the first dataset an entity knowledge graph including a series of candidate variables. The embodiment may generate, based on the second dataset, a universal knowledge graph including a series of candidate function formulas. The embodiment may generate, using a graph neural network, embeddings corresponding to the entity knowledge graph and the universal knowledge graph respectively. The embodiment may perform symbolic regression, using the embeddings, to generate one or more impact functions for the target geospatial climate hazard and the corresponding asset.