
01:01:10
Good Evening from Nepal

01:02:12
Yes I am

01:02:17
You're on mute Mr. Reinhard, I can't hear you

01:02:28
Yes

01:02:33
Yes I am I am from Trento, Italy

01:02:44
Calling in from Johannesburg

01:02:45
Good evening from Egypt

01:02:48
from New Delhi, India

01:02:48
Yes. Hi, I am from Colombia.

01:02:51
yes I want to participate (Egypt)

01:02:59
From Toronto

01:02:59
calling from new delhi india

01:03:57
Best wishes for PhD defence!

01:04:30
Best wishes in your defense

01:04:44
Yes

01:04:51
Yes

01:05:20
Is this webminar being recorded?

01:05:58
yes, it is recorded

01:07:20
We take questions here. Please feel free to put your questions here.

01:09:00
Hi . This is Prof. Thanuja. Professor, Karnataka India

01:10:00
hi, this is Abdulaziz Binsaif from Saudi Telecom Company,Saudi Arabia

01:10:00
welcome.

01:15:16
Please Register for the ITU AI/ML in 5G Challenge here: https://www.itu.int/net4/CRM/xreg/web/Registration.aspx?Event=C-00007607

01:15:52
Join our Slack Channel to keep updated: https://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA

01:20:50
I've read that when you change the underlying graph, the GNNs eigenfunctions change as well. How can your GNNs generalize to "unseen" networks?

01:22:55
As well I've read that operational backward and forward pass operations take O(n^2), whilst traditional CNNs have O(n). Why do you state that GNNs are faster?

01:23:50
Networks are also based on regulatory & standards guidelines, how do you build that in the GNN ?

01:36:19
Could you please share the slides with us through email?Could you please provide a pytorch version of RouteNet? Now pytorch is widely used.

01:37:15
The Slides can be obtained on the ITU AI/ML in 5G Challenge: https://www.itu.int/en/ITU-T/AI/challenge/2020/Pages/default.aspx

01:37:46
Presentation slides: https://www.itu.int/en/ITU-T/AI/challenge/2020/Documents/Presentation_gnnet_challenge.pdf

01:38:48
I don't know if this is appropriate to ask here. I was trying to run the RouteNet using the main.py code that you provided to see the first test. I get the following problems. I am new to RNN and ML. "... 2020-06-19 14:25:22.119924: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version2020-06-19 14:25:22.129538: F tensorflow/stream_executor/lib/statusor.cc:34] Attempting to fetch value instead of handling error Internal: failed to get device attribute 13 for device 0: CUDA_ERROR_UNKNOWN: unknown error"

01:39:19
I mean new GNN

01:39:30
We can discuss the finer details in the Slack Channel

01:41:12
https://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA

01:44:29
Whats the future of GNN in next 10 years especially In health industry

01:46:26
But if you build a kernel filter to act on the "frequency domain", the frequencies, i.e., the laplacian eigenfunction changes.Thus, the learned filter does not apply to the new graph.

01:49:05
Hi, thanks for the presentation! Would you be able to provide RouteNet baseline predictions for training and validation dataset? Thanks

01:49:37
Maybe I missed a part of your explanI was checking the training dataset, but I cannot see a relation between the simulation results and the queueing policy implemented. Each .tar.gz has the results of one policy on all the nodes?

01:50:54
And the MAPE will be measured according to each pair end-to-end delay?

01:51:23
can we have the presentation please

01:51:59
Presentation slides:https://www.itu.int/en/ITU-T/AI/challenge/2020/Documents/Presentation_gnnet_challenge.pdf

01:52:47
from your experience what are the value proposition of 5G ML from an operator prespective please

01:56:12
Maybe I missed a part of your explanation. I was checking the training dataset, but I cannot see a relation between the simulation results and the queueing policy implemented. Each .tar.gz has the results of one policy on all the nodes?

01:57:00
yes please we are very interested from Network prespective

01:58:07
ai5gchallenge@itu.int

01:58:50
Thanks

01:59:28
Join us on the Slack Channelhttps://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA

01:59:37
The questions that I missed, we will get back via email or slack. Sorry!