Logo

Graph Neural Networking Challenge 2021: Creating a Scalable Network Digital Twin - Shared screen with speaker view
Vishnu Ram
24:13
Hi José, welcome.
José Suárez-Varela
24:19
can I check to share my slides?
Vishnu Ram
24:46
I think its time anyways.
Vishnu Ram
25:21
In case you have trouble, one of us can share. no worries.
Thomas Basikolo (ITU)
26:47
Geneva, Switzerland
Akshay Jain
26:50
Barcelona, Spain
Vishnu Ram
26:56
Bangalore, India
Stefano Ruberto
26:57
Italy
Ignacio Sanchez-Navarro
26:57
Scotland, UK
utae Kim
26:57
Daejeon, Korea
Mark Melnykowycz
26:57
Winterthur Switzerland
Antonio Massaro
26:57
Antibes, France
faiz ikramulla
26:58
st. louis, usa
Biswadeb Dutta
26:59
Boston, USA
Danielle Alice Desanges Aucéane THIAM MÉKÀ de GOGUENHEIM
26:59
Cameroon
Mamadou Bousso
27:01
Dakar, Senegal
Jose Maria Alcaraz Calero
27:02
Paisley, Scotland, United Kingdom
Shabnam Sultana
27:02
Chemnitz, Germany
Arzu Alpagut
27:05
Istanbul, Turkey
Armen Aghasaryan
27:06
Paris, france
Matthias Herlich
27:06
Salzburg, Austria
Thierry Clessienne
27:08
Paris, France
francois ortolan
27:10
Oxford, UK
Amir Eskandari
27:11
Teharn , Iran
RAJASEKAR MOHAN
27:14
Bangalore, India
Peter Matzke
27:16
Dresden, Germany
Hans-Jürgen Dichter
27:16
Hi from Königswinter, Germany
Adhesh Reghu Kumar
27:19
Chennai, India
Razikou Dilwani Abdoul Aziz
27:57
Niamey , Niger
Douglas Torres
38:28
Caracas, Venezuela.
Thomas Basikolo (ITU)
38:45
Thank you for joining today's webinar. If you have questions, please type in the Q&A.We have very important announcement: The first batch of problem statements for this year's edition of the Challenge are available....
Thomas Basikolo (ITU)
39:16
problem statements: https://2ja3zj1n4vsz2sq9zh82y3wi-wpengine.netdna-ssl.com/wp-content/uploads/2021/05/Problem_statements_2021_v1d.docxChallenge Website: https://aiforgood.itu.int/ai-ml-in-5g-challenge/Today’s event page: https://aiforgood.itu.int/events/graph-neural-networking-challenge-2021-creating-a-scalable-network-digital-twin/Next event/webinar: https://aiforgood.itu.int/events/machine-learning-for-joint-sensing-and-communication-in-future-millimeter-wave-ieee-802-11-wlans/Join our Slack Channel to keep updatedhttps://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA
Danielle Alice Desanges Aucéane THIAM MÉKÀ de GOGUENHEIM
42:17
Thanks @Thomas for the links
Jose Maria Alcaraz Calero
54:04
Are the training and testing datasets created with the same platform (e.g. Omnet++) ?
Jose Maria Alcaraz Calero
56:00
Can we assume everyone has the same number of queues? And, can we know that number, e.g. 1 queue?
Jose Maria Alcaraz Calero
57:29
same for the queue size .. can we assume the same queue size for all the queues in the system?
Hugo Araujo
01:04:22
Genval, Belgium
utae Kim
01:29:37
Thanks you.