BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20231030T235136Z
LOCATION:704-706
DTSTART;TZID=America/Denver:20231113T140000
DTEND;TZID=America/Denver:20231113T173000
UID:submissions.supercomputing.org_SC23_sess141_wksp149@linklings.com
SUMMARY:Workshop on Machine Learning with Graphs in High Performance Compu
 ting Environments
DESCRIPTION:Workshop\n\nSeung-Hwan Lim (Oak Ridge National Laboratory), Ca
 therine Schuman (University of Tennessee), Jose Moreira (IBM), and Richard
  Vuduc (Georgia Institute of Technology)\n\nThe intent of this workshop is
  to bring together researchers, practitioners, and scientific communities 
 to discuss methods that utilize extreme scale systems for learning graph d
 ata. This workshop will focus on the greatest challenges in utilizing High
  Performance Computing (HPC) for machine learning with graphs and methods 
 for exploiting extreme scale parallelism for data, computation, and model 
 optimization.\n\nWe invite researchers and practitioners to participate in
  this workshop to discuss the challenges in using HPC for machine learning
  with graphs and to share the wide range of applications that would benefi
 t from HPC powered machine learning with graphs.\n\nRegistration Category:
  Workshop Reg Pass
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