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SUMMARY:Graph Representation Learning under Uncertainty (WIP) - Catalina C
 angea and Ben Day (University of Cambridge)
DTSTART:20200526T121500Z
DTEND:20200526T131500Z
UID:TALK142381@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:"ONLINE link":https://teams.microsoft.com/l/meetup-join/19%3a0
 29f32452e0a4506821c41ea466516e8%40thread.skype/1589463025015?context=%7b%2
 2Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%22760a
 f26a-1349-4870-a967-af40fbad85e9%22%7d\n\nThis 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 se
 ries 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.
LOCATION:Online on Teams
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