BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pyconde-pydata-berlin-2023//speaker//CTYCU
 T
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20220417T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T030000
RDATE:20231029T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T030000
RDATE:20240331T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Practical Session: Learning on Heterogeneous Graphs with PyG - Ram
 ona Bendias\, Matthias Fey
DTSTART;TZID=Europe/Berlin:20230417T151000
DTEND;TZID=Europe/Berlin:20230417T164000
DTSTAMP:20260913T110710Z
UID:pretalx-pyconde-pydata-berlin-2023-PQZR3Q@pretalx.com
DESCRIPTION:Learn how to build and analyze heterogeneous graphs using PyG
 \, a machine graph learning library in Python. This workshop will provide 
 a practical introduction to the concept of heterogeneous graphs and their 
 applications\, including their ability to capture the complexity and diver
 sity of real-world systems. Participants will gain experience in creating 
 a heterogeneous graph from multiple data tables\, preparing a dataset\, an
 d implementing and training a model using PyG.
LOCATION:A05-A06
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/PQZR3Q/
END:VEVENT
END:VCALENDAR