CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

In three linesCausalPOI introduces a spatio-temporal graph-based causal representation learning framework to forecast check-in patterns for newly introduced POIs. The model leverages functional interaction graphs and constructs treatment/control graphs to simulate counterfactual scenarios, capturing causal effects of urban interventions and outperforming baselines on SafeGraph datasets.

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