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DTSTART:20200308T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200312T103000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-de
 ep-learning-graphs
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Deep Learning on Graphs
CLASS:PUBLIC
DESCRIPTION:RENJIE LIAO\, DEPARTMENT OF COMPUTER SCIENCE\n_University of To
 ronto_\n\nGraphs are ubiquitous in many domains like computer vision\, nat
 ural\nlanguage processing\, computational chemistry\, and computational so
 cial\nscience. Although deep learning has achieved tremendous success\,\ne
 ffectively handling graphs is still challenging due to their discrete\nand
  combinatorial structures. In this talk\, I will discuss my recent\nwork w
 hich improves deep learning on graphs from both modeling and\nalgorithmic 
 perspectives.
DTSTAMP:20260314T064027Z
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