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Award Ceremony of the Graph Neural Networking challenge 2021

by Jose Suárez-Varela

[Apologies if you received multiple copies of this email] Dear participants, We are delighted to invite you to the *award ceremony of the Graph Neural Networking challenge 2021*, which will be held online on *Friday, November 12 between 14.00–15.30 CET*. Please save the date and feel free to forward this invitation to any colleagues that may be interested. In this event, top-5 teams will present their solutions, and all of you will have the opportunity to ask questions and learn more about these solutions. This will be the agenda (1h 30 mins): 0:00-0:20: Introduction and award announcements (BNN team) 0:20-1:20: Presentations of the top-5 solutions 1:20-1:30: Closing Please, find the Zoom details below: https://us02web.zoom.us/j/81883789056?pwd=cnF4TnJhTlZ2WlVXRTRnS2FZQXBzZz09 Meeting ID: 818 8378 9056 Passcode: 581662 Phone one-tap: +12532158782,,81883789056#,,,,*581662# Estados Unidos (Tacoma) +13017158592,,81883789056#,,,,*581662# Estados Unidos (Washington DC) Looking forward to seeing you there. By the way, for those that may be interested, we have released a version of the test dataset including the labels. You can find it at this link: https://bnn.upc.edu/challenge/gnnet2021/dataset Best regards, José Suárez-Varela Postdoctoral researcher Barcelona Neural Networking center Universitat Politècnica de Catalunya

3 years, 4 months

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Announcement of the final ranking

by Jose Suárez-Varela

Dear participants of the Graph Neural Networking challenge, First of all, thank you very much to all of you for your interest in the challenge. After finishing the validation of top-5 solutions, we are glad to officially announce the final ranking in the challenge website: https://bnn.upc.edu/challenge/gnnet2021/ We are really impressed by the outstanding results of this year’s edition. Special congratulations to top-3 teams, which will have access to the Grand Challenge Finale of the ITU AI/ML in 5G Challenge <https://aiforgood.itu.int/about/aiml-in-5g-challenge/>: 1st - PARANA Participant name(s): Bruno Klaus de Aquino Afonso Institution(s): Federal University of São Paulo (UNIFESP), Brazil 2nd - SOFGNN Participant name(s): Charles Boudreau, Huy Duong, Brigitte Jaumard, Junior Momo Ziazet Institution(s): Concordia University, Canada 3rd - ZTE AIOps Participant name(s): Huang Zhuoyao, Tan Yunsheng, Gao Yong, Tang Qingkun Institution(s): ZTE Corporation, China In the coming weeks we will celebrate an online award ceremony, where all of you are of course invited. More updates will follow in the next few days. By the way, we would also like to share with you that we are working on a new edition of the challenge for the next year. Please, stay tuned if you are interested. We will announce it through the challenge mailing list, as well as on the official social media channels of the Barcelona Neural Networking center: LinkedIn -> https://www.linkedin.com/company/bnn-upc Twitter -> @BNN_UPC <https://twitter.com/bnn_upc> Best regards, José Suárez-Varela Postdoctoral researcher Barcelona Neural Networking center Universitat Politècnica de Catalunya

3 years, 4 months

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Instructions for the evaluation phase

by Jose Suárez-Varela

Dear participants, As you may already know, the evaluation phase of the Graph Neural Networking challenge will start soon (Sep. 16). I attach a document with detailed instructions on how to register in the evaluation platform and prepare your submissions. Please, try to register in the platform before the evaluation phase starts (Sep. 16) to avoid potential issues. Also, we recommend to validate the format of your submission files. For this, you can use a toy dataset we provide. Please refer to the attached document for detailed instructions on this. We encourage all of you to participate in the evaluation. Even if you think your solution may not be among the top ones, you may eventually be gladly rewarded and appear in the final ranking we will publish in the challenge website. Also, keep in mind that there are three winning positions, which will have access to the Grand Challenge Finale of the ITU AI/ML in 5G challenge. Please do not hesitate to contact us if you have any problems or questions. Enjoy the challenge! Challenge website: https://bnn.upc.edu/challenge/gnnet2021 Best regards, José Suárez-Varela Postdoctoral Researcher Barcelona Neural Networking center Universitat Politècnica de Catalunya

3 years, 6 months

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Fwd: Announcement: Round-Table for Graph Neural Networking Challenge 2021 [Wed. Aug 4, 2021 @14:00 – 15:00 CEST]

by José Suárez-Varela

Dear participants, Next Wednesday (August 4th) there will be a round-table about the Graph Neural Networking Challenge 2021. I'll be happy to answer questions, receive feedback or give some tips. I hope this will be helpful for all of you. Save the date! Date: Wed., August 4th Time: 14:00 – 15:00 CEST Please, note you need to register in advance for the meeting: https://itu.zoom.us/meeting/register/tJAocuqrrT4iE92c5XjfhT_uHeqIsGCU0FhC Best regards, José ---------- Forwarded message --------- De: AI-5G-Challenge, ITU <ai5gchallenge(a)itu.int> Date: vie, 30 jul 2021 a las 14:25 Subject: Announcement: Round-Table for Graph Neural Networking Challenge 2021 [Wed. Aug 4, 2021 @14:00 – 15:00 CEST] To: AI-5G-Challenge, ITU <ai5gchallenge(a)itu.int> Dear Colleagues, As part of the challenge, we have scheduled a round-table discussion for participants of the Graph Neural Networking Challenge 2021. This is an opportunity for participants and host/organizers to come together to discuss any pertinent issues, answer questions or get feedback. All participating in the above Challenge are invited to attend this meeting Date: Aug 4, 2021 (Wed.) Time: 14:00 – 15:00 CEST - Register in advance for this meeting: https://itu.zoom.us/meeting/register/tJAocuqrrT4iE92c5XjfhT_uHeqIsGCU0FhC - Meeting ID: 945 5333 5899 Looking forward to your participation Regards Thomas ITU AI/ML in 5G Challenge

3 years, 7 months

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Changes on the Github Repo

by Miquel Ferriol

Dear participants, We have detected an inconsistency in the DataNet API version we use for reading the datasets in the following repositories (baseline models): <https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2021_Routenet_TF> <https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2021_Routenet_TF> - <https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2021_Routenet_TF> https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2021_Routenet_TF - https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2021_Routenet_iGNNiti… Particularly, this produces an error when accessing the "qosQueuesStats" features of the datasets. We have updated the two repositories, to work with the correct DataNet API version. If you are using any of these models, we recommend updating them to the new version (using the links above). Particularly, the update only affects the "read_dataset.py" and "migrate.py" files, so it would be sufficient to replace only these files.Thank you for your interest in the challenge.Kind regards, Miquel

3 years, 9 months

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Graph Neural Networking challenge 2021 – Training and validation datasets released

by José Suárez-Varela

Dear participants, The training and validation datasets are already available. You can start working for the challenge. Please, visit the website for more details: https://bnn.upc.edu/challenge/gnnet2021 <https://bnn.upc.edu/challenge/gnnet2021> Note that there are some resources that can be useful as a starting point, including some summary slides (with tips for participants), a baseline model (RouteNet), and an API to easily read and process the datasets. Please, do not hesitate to use this mailing list if you have any questions or comments. Thank you for your interest on behalf of the challenge organizing team. Good luck! Kind regards, José Suárez-Varela Barcelona Neural Networking center Universitat Politècnica de Catalunya

3 years, 9 months

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test1

by Albert López

-- Albert López CBA System Administrator Universitat Politècnica de Catalunya Telf: 93 4017182

3 years, 9 months

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