Yi Wang

GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting

Probabilistic spatio-temporal forecasting is a pivotal challenge in the data mining community. Recently, diffusion models have emerged as a powerful paradigm in this field, acting as conditional generative models. Beyond standard diffusion models, a significant research trend involves tailoring the diffusion model to i...