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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Learning on Graph Conference 2023 - Lausanne Local Meetup
DTSTART:20231122T140000
DTEND:20231122T193000
DTSTAMP:20260924T163602Z
UID:16cbb442402f43aa043308f5e2068d004a1fabb5457aa20c17cf8ff3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Charlotte Bunne\, Clément Vignac\, Mehmet Akdel\, Dorina Than
 ou\, Michaël Defferrard\nThe LoG Meetup in Lausanne is associated with th
 e virtual Learning on Graphs (LoG) Conference\, an annual research confere
 nce with focus on graph machine learning and geometric deep learning.  To
  complement the main event with an offline social venue\, we bring togethe
 r computer scientists from the lake Geneva region and all over Switzerland
  to discuss machine learning on graphs and geometry\, from the theory to i
 ts application across disciplines.\n\nThe meetup will feature five invited
  talks\, followed by a poster session and apéro\, providing plenty of opp
 ortunities to discuss all things graphs and geometry. To showcase research
  efforts from the local community\, boost interdisciplinary research and f
 oster collaborations\, there will be also a poster session. Whether you ar
 e an expert or just curious to hear how graphs could be applied in your ar
 ea\, everyone is welcome!\n\nProgram:\n\n	14:00 - 14:15: Introduction\n	14
 :15 - 14:55: Charlotte Bunne. TBA\n	14:55 - 15:35: Clément Vignac: "Discr
 ete denoising diffusion models for graph generation"\n	15:35 - 15:55: Mehm
 et Akdel: "DiffMaSIF: score-based diffusion models for protein surfaces"\n
 	15:55 - 16:20: Break\n	16:20 - 17:00: Dorina Thanou: "Graph representatio
 ns for biology and medicine: Challenges and applications"\n	17:00 - 17:40:
  Michaël Defferrard. TBA\n	17:40 - 19:30: Poster session\n\nUpdate (16/11
 ): Due to a large enthusiasm\, the event has now reached maximal capacity\
 , and registrations are closed until further notice!\n\nWebpage: https://s
 ites.google.com/view/log-meetup-lausanne 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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