Machine Learning, Artificial Intelligence, Geometric Deep Learning, Drug Discovery, Editors Pick.
edges, and corresponding features Forward diffusion process q(z_t | x,h): at each time step t, inject noise to the features such that at the final step T they become a white noise Reverse diffusion process p(z_{t-1} | z_t): at each time step t-1, ask the model to predict the noise and “subtract” it