Peter Pao-Huang

Geometric Generative Modeling with Noise-Conditioned Graph Networks

Generative modeling of graphs with spatial structure is essential across many applications from computer graphics to spatial genomics. Recent flow-based generative models have achieved impressive results by gradually adding and then learning to remove noise from these graphs. Existing models, howeve…