BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20251227T081451Z
UID:BBCEE1FA-61DF-4CA0-9400-78803635E65D
DTSTART;TZID=Asia/Kolkata:20250412T190000
DTEND;TZID=Asia/Kolkata:20250412T200000
DESCRIPTION:To introduce the fundamentals and applications of Graph Machine
  Learning (GML)\, exploring how graph-based data structures can be leverag
 ed to improve learning models. The session aims to provide insights into c
 ore concepts such as Graph Neural Networks (GNNs)\, node and edge embeddin
 gs\, and real-world use cases in recommendation systems\, social networks\
 , and biological data analysis. Attendees will gain a foundational underst
 anding of GML techniques and their relevance in solving complex\, structur
 ed data problems.\n\nAgenda: \n‎\n\nVirtual: https://events.vtools.ieee.
 org/m/480812
LOCATION:Virtual: https://events.vtools.ieee.org/m/480812
ORGANIZER:ieee.its@sairamtap.edu.in
SEQUENCE:17
SUMMARY:Graph Powered Intelligence - GRAPH ML
URL;VALUE=URI:https://events.vtools.ieee.org/m/480812
X-ALT-DESC:Description: <br /><p>To introduce the fundamentals and applicat
 ions of Graph Machine Learning (GML)\, exploring how graph-based data stru
 ctures can be leveraged to improve learning models. The session aims to pr
 ovide insights into core concepts such as Graph Neural Networks (GNNs)\, n
 ode and edge embeddings\, and real-world use cases in recommendation syste
 ms\, social networks\, and biological data analysis. Attendees will gain a
  foundational understanding of GML techniques and their relevance in solvi
 ng complex\, structured data problems.</p><br /><br />Agenda: <br /><p>&lr
 m\;&nbsp\;</p>
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END:VCALENDAR