University of Cambridge > Talks.cam > Artificial Intelligence Research Group Talks (Computer Laboratory) > Graph Representation Learning under Uncertainty (WIP)

Graph Representation Learning under Uncertainty (WIP)

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Mateja Jamnik.

ONLINE link

This talk will give an overview of our incoming NeurIPS submission. We present a framework for learning to represent graph-structured data under uncertainty and evaluate it on a series of existing and novel tasks. The latter include Cellular Automata and a subset of Cora-full for mixed-class and few-shot learning, whereas the existing data comes from geometric and biological domains.

This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2020 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity