BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20231029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.26178.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260410T143907Z
CREATED:20230703T132555Z
DESCRIPTION:Title: Integrating Graph Representation Learning and Diffusion:
  Computational Models and Applications in Chemistry and Medicine. Abstract
 The talk will focus on recent methodological novelties and challenges in g
 raph representation learning (fundamentals\, higher-order networks\, and h
 igher-order message passing networks). Then\, I will describe why diffusio
 n is an interesting new research direction.I will provide various examples
  of graph representation in science and medicine.I will conclude with some
  technical and ethical considerations on the actionability and deployment 
 of AI in medical practice. Short BioPietro Lio' is a Full Professor in the
  Department of Computer Science and Technology at the University of Cambri
 dge\, where he is also a member of the Artificial Intelligence group. His 
 research is primarily centered on the development of Artificial Intelligen
 ce models applied to many sectors of science and Mathematics such as: phys
 ics\, biology\, chemistry\, and medicine. His current focus is on Graph Ne
 ural Network modeling.Prof. Lio' boasts an impressive academic background\
 , holding a Master of Arts degree from Cambridge\, along with two PhDs. On
 e is in Complex Systems and Non-Linear Dynamics\, earned from the School o
 f Informatics\, Department of Engineering at the University of Firenze\, I
 taly. The other is in Theoretical Genetics\, awarded by the University of 
 Pavia\, Italy. 
DTSTART;TZID=Europe/Paris:20230711T113000
DTEND;TZID=Europe/Paris:20230711T113000
LAST-MODIFIED:20230703T134315Z
LOCATION:Aula Magna
SUMMARY:Integrating Graph Representation Learning and Diffusion: Computatio
 nal Models and Applications in Chemistry and Medicine. - Pietro Liò
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/26178
END:VEVENT
END:VCALENDAR