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DTSTART:20231029T030000
RDATE:20241027T030000
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SUMMARY:Content Recommendation with Graphs: From Basic Walks to Neural Net
 works - Dr. Mirza Klimenta
DTSTART;TZID=Europe/Berlin:20240423T141000
DTEND;TZID=Europe/Berlin:20240423T144000
DTSTAMP:20260811T054850Z
UID:pretalx-pyconde-pydata-2024-RD9SU8@pretalx.com
DESCRIPTION:Discover how graph algorithms are transforming content recomme
 ndation in this insightful talk. We'll journey from the basics of graph-ba
 sed models\, exploring simple graph walks\, to the cutting-edge realm of G
 raph Neural Networks. Uncover the power of graph embeddings and learn when
  graph-based approaches excel in recommender systems.
LOCATION:B09
URL:https://pretalx.com/pyconde-pydata-2024/talk/RD9SU8/
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