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TZOFFSETFROM:-0500
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DTSTART:20210314T070000
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DTSTART:20201101T060000
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UID:69d67a9925d7a
DTSTART;TZID=America/Toronto:20210614T093000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20210614T093000
URL:https://uwaterloo.ca/computer-science/events/dsg-seminar-series-efficie
 nt-network-embeddings-large-graphs
LOCATION:200 University Avenue West Online seminar Waterloo ON N2L 3G1 Cana
 da
SUMMARY:DSG Seminar Series • Efficient Network Embeddings for Large Graph
 s
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL BE GIVEN ONLINE.\n\nXIAOKUI XIAO
 \, SCHOOL OF COMPUTING\n_National University of Singapore_\n\nGiven a grap
 h G\, network embedding maps each node in G into a compact\,\nfixed-dimens
 ional feature vector\, which can be used in downstream\nmachine learning t
 asks. Most of the existing methods for network\nembedding fail to scale to
  large graphs with millions of nodes\, as\nthey either incur significant c
 omputation cost or generate low-quality\nembeddings on such graphs.
DTSTAMP:20260408T155609Z
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