Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#graph neural networks Open access Oct 2026

Deep generative models for structured outputs : from graphs and motion to language

Generative models learn the distribution of data and draw new samples from it. Deep generative models parameterize this distribution with neural networks, usually conditioned on an application-specific input. They are used in many domains, such as drug discovery, chat and coding assistants, robotics, and animation. Thi...

Muchen Li · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.