Yuanchang Jin

Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation

Spatio-temporal data generation aims to synthesize realistic urban data across graph nodes by learning spatial and temporal dependencies. This task plays a crucial role in urban planning by enabling the simulation of unobserved nodes. However, existing approaches face critical limitations that time