Graph generation methods

Abstract

This short lecture will present three different approaches to graph generation from the ML literature, using a variety of techniques based on deep learning and probabilistic building blocks.

Date
Jan 17, 2020 2:00 PM — 4:00 PM
Location
William Gates Building
JJ Thomson Avenue, Cambridge, CB3 0FD, United Kingdom
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Dr Cătălina Cangea
Senior Research Scientist

Senior Research Scientist at Google DeepMind, with a PhD in ML from the University of Cambridge, and inhaler of music :) Focus on generative music models, finding signals in data and human evaluation. Motivated by contributing ML-based knowledge and improvements to real-world systems!