- Challenge2022 - example.com

BNNetSimulator image release
by Albert López 16 Jan '23

16 Jan '23

Dear participants of the GNNet Challenge 2022, After successfully completing one more edition of the Networking Challenge, we are proud to announce the release of BNNetSimulator, a new docker image of the NetSim simulator released during the current challenge but without its restrictions. You can find all required information in the following link: [https://github.com/BNN-UPC/BNNetSimulator] Also we would like to inform you that, the 1st of February, all members of the challenge2022 mailing list will be automatically moved to the general mailing list <https://mail.bnn.upc.edu/cgi-bin/mailman/listinfo/challenges-list> of the challenge. If you are not interested to be added to the list, please send a mail to web_admin(a)bnn.upc.edu with the subject "BNN Challenge: Remove from general mailing list" or use the web interface once your mail being added to the list. Best regards, Albert López on behalf of the GNNet Challenge Organizing Committee

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Congratulations to the awarded teams of the ITU Grand Challenge Finale and publication of the test dataset
by JOSE SUAREZ-VARELA MACIA 16 Dec '22

16 Dec '22

Dear participants, Thank you for joining us at the GNNet Challenge awards ceremony. We were delighted to see outstanding presentations from the top-3 teams and very inspiring discussions in the Q&A sessions. We would like to express our heartiest congratulations to the teams Snowyowl and Ghost Ducks, which were awarded in the Grand Challenge Finale of the ITU AI/ML in 5G Challenge. Team Snowyowl won the 2nd place (Silver medal), and team Ghost Ducks received an honorable mention. Also, we would like to share with you that we have released the test dataset used in the evaluation phase. Please find it at the link below: https://github.com/BNN-UPC/GNNetworkingChallenge/tree/2022_DataCentricAI/te… We look forward to seeing you all in the next edition. Best regards, José Suárez-Varela ________________________________ Este mensaje y sus adjuntos se dirigen exclusivamente a su destinatario, puede contener información privilegiada o confidencial y es para uso exclusivo de la persona o entidad de destino. Si no es usted. el destinatario indicado, queda notificado de que la lectura, utilización, divulgación y/o copia sin autorización puede estar prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, le rogamos que nos lo comunique inmediatamente por esta misma vía y proceda a su destrucción. The information contained in this transmission is confidential and privileged information intended only for the use of the individual or entity named above. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this transmission in error, do not read it. Please immediately reply to the sender that you have received this communication in error and then delete it. Esta mensagem e seus anexos se dirigem exclusivamente ao seu destinatário, pode conter informação privilegiada ou confidencial e é para uso exclusivo da pessoa ou entidade de destino. Se não é vossa senhoria o destinatário indicado, fica notificado de que a leitura, utilização, divulgação e/ou cópia sem autorização pode estar proibida em virtude da legislação vigente. Se recebeu esta mensagem por erro, rogamos-lhe que nos o comunique imediatamente por esta mesma via e proceda a sua destruição

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Call for participation: Graph Neural Networking Challenge Award Ceremony
by JOSE RAFAEL SUAREZ-VARELA MACIA 08 Dec '22

08 Dec '22

[Apologies if you receive multiple copies of this email] Dear colleagues, As we announced, the Award Ceremony of the Graph Neural Networking Challenge will be held on December 9, at 1:30pm-3:00pm CET. It will be organized in a hybrid format, as a special session within the 1st GNNet Workshop (co-located with ACM CoNEXT, in Rome, Italy). All of you are invited to join us online, please find the Zoom details below. Zoom link: https://us02web.zoom.us/j/85026049416 Meeting ID: 850 2604 9416 Agenda (1h 30 mins): • 1:30pm-2:00pm CET: Introduction and awards announcement (by José Suárez-Varela) • 2:00pm-2:45pm CET: Presentations of the top-3 teams (10 mins + 3-5 mins for Q&A each) - Winning team: Snowyowl team Title: Designing GNN Training Data with Limited Samples and Small Network Sizes Authors: Brigitte Jaumard, Junior Momo Ziazet, Charles Boudreau, Oscar Delgado (Concordia University) - 2nd team: Ghost Ducks Title: GNN Networking Challenge 2022 – Oracle based sampling Authors: Eli Sason, Eli Kravchik, Alexei Gaissinski, Yackov Lubarsky (Toga Networks, a Huawei company) - 3rd team: Net Title: Beta Distribution based Leave-one-out Sample Ranking Authors: Max Helm, Benedikt Jaeger (Technical University of Munich) • 2:45pm-3:00pm CET: Closing We look forward to seeing you there. Best regards, José Suárez-Varela ________________________________ Este mensaje y sus adjuntos se dirigen exclusivamente a su destinatario, puede contener información privilegiada o confidencial y es para uso exclusivo de la persona o entidad de destino. Si no es usted. el destinatario indicado, queda notificado de que la lectura, utilización, divulgación y/o copia sin autorización puede estar prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, le rogamos que nos lo comunique inmediatamente por esta misma vía y proceda a su destrucción. The information contained in this transmission is confidential and privileged information intended only for the use of the individual or entity named above. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this transmission in error, do not read it. Please immediately reply to the sender that you have received this communication in error and then delete it. Esta mensagem e seus anexos se dirigem exclusivamente ao seu destinatário, pode conter informação privilegiada ou confidencial e é para uso exclusivo da pessoa ou entidade de destino. Se não é vossa senhoria o destinatário indicado, fica notificado de que a leitura, utilização, divulgação e/ou cópia sem autorização pode estar proibida em virtude da legislação vigente. Se recebeu esta mensagem por erro, rogamos-lhe que nos o comunique imediatamente por esta mesma via e proceda a sua destruição

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Invitation to the Graph Neural Networking Challenge Award Ceremony
by José Suárez-Varela 24 Nov '22

24 Nov '22

Dear participants, As we announced, the Award Ceremony of the Graph Neural Networking Challenge will be held on December 9, at 1:30pm-3:00pm CET. It will be organized in a hybrid format, as a special session within the 1st GNNet Workshop (co-located with ACM CoNEXT, in Rome, Italy). Please, find enclosed a calendar invite with a Zoom link to the event. *Agenda (1h 30 mins):* • 1:30pm-2:00pm CET:* Introduction and awards announcement* • 2:00pm-2:45pm CET: *Presentations of top-3 teams* (10 mins + 3-5 mins for Q&A each) - *Winning team: Snowyowl team* *Title*: Designing GNN Training Data with Limited Samples and Small Network Sizes *Authors*: Brigitte Jaumard, Junior Momo Ziazet, Charles Boudreau, Oscar Delgado (Concordia University) - *2nd team: Ghost Ducks* *Title*: GNN Networking Challenge 2022 – Oracle based sampling *Authors*: Eli Sason, Eli Kravchik, Alexei Gaissinski, Yackov Lubarsky (Toga Networks, a Huawei company) - *3rd team: Net* *Title*: Beta Distribution based Leave-one-out Sample Ranking *Authors*: Max Helm, Benedikt Jaeger (Technical University of Munich) • 2:45pm-3:00pm CET: *Closing* We look forward to seeing you all there. Best regards, José Suárez-Varela

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Announcement of the Final Ranking and the Award Ceremony
by José Suárez-Varela 18 Nov '22

18 Nov '22

Dear participants of the GNNet Challenge 2022, First of all, thank you very much to all of you for the interest and the efforts you have put in the challenge. Remember that you are the central element of this competition, the ones that make it greater and greater over the years. 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/gnnet2022 Congratulations to all of you. We are really impressed by the outstanding results in this year’s edition! Special congratulations to top-3 teams, which will advance to the Grand Challenge Finale of the ITU AI/ML in 5G Challenge <https://aiforgood.itu.int/about-ai-for-good/aiml-in-5g-challenge/>. We are also very glad to inform you that we will celebrate the *GNNet Challenge Award Ceremony as a special session of the 1st GNNet workshop (co-located with ACM CoNEXT)*. It will be held on* December 9, at 1:30pm-3:00pm CET*, and it will follow a hybrid format. We will share a link in the next few days so that all of you can participate remotely. In the meantime, you can check the program [here <https://bnn.upc.edu/workshops/gnnet2022/program/>]. Please, save the date! Best regards, José Suárez-Varela, on behalf of the GNNet Challenge Organizing Committee

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[Challenge2022] Announcement of the provisional ranking
by José Suárez-Varela 19 Oct '22

19 Oct '22

Dear participants, First of all, thank you very much to all of you for the interest and the efforts you have put in this challenge. After the end of the evaluation phase, we are glad to announce the provisional ranking. You can find it in the challenge website: https://bnn.upc.edu/challenge/gnnet2022 Congratulations to all of you. We are really impressed by the amazing results in this year’s edition. In the next weeks we will work on validating top solutions before we announce the final ranking (by mid-Nov). Top-5 teams will receive a separate email with detailed instructions on how to prepare their documentation. Thank you again, you can now say that you are part of the history of the Graph Neural Networking challenge. Best regards, José Suárez-Varela, on behalf of the GNNet Challenge Organizing Committee

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[Challenge2022] Evaluation phase extended - Oct. 18th at 11:59:59 AM CET
by José Suárez-Varela 17 Oct '22

17 Oct '22

Dear participants, We are sorry to see that some teams experienced problems to submit their solutions to the BNN platform during the last day. Consequently, we have decided to extend the evaluation period by one more day. The new deadline to submit solutions is: *Oct. 18th at 11:59:59 AM CET*. Please, note that this is a hard deadline. In case some of you experience issues again with the platform, you are encouraged to send the submission files (in ZIP format) to the following email, and we will check them manually later: gnnetchallenge(a)bnn.upc.edu Please, use this only as a fallback in case the platform fails. We will consider all submissions before the deadline that comply with the limitation of max. 5 submissions in the last 24 hours, or 20 submissions in total. In case of receiving more submissions, only the first submissions up to these limits will be considered. Apologies again for the inconvenience, and good luck! Best regards, José Suárez-Varela

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[Challenge2022] Unable to submit to evaluation platform
by yawi yoga 17 Oct '22

17 Oct '22

Hi, Since about 10 hours ago I cannot make new submission. The evaluation platform shows a message that a submission is in the queue and will be processed in 2 minutes, but my last submission was hours ago. Could you please check? Thank you

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[Challenge2022] Unable to submit to evaluation platform
by yawi yoga 17 Oct '22

17 Oct '22

Hi, Since about 10 hours ago I cannot make new submission. The evaluation platform shows a message that a submission is in the queue and will be processed in 2 minutes, but my last submission was hours ago. Could you please check? Thank you

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[Challenge2022] simulating bigger networks
by Eran Tavor 13 Oct '22

13 Oct '22

Hello, It is beyond the scope of this challenge, but can I use the omnet docker to simulate bigger networks? I tried and got an error: Is it possible to remove this limitation? (off course not to be used for this challenge) Thanks, Eran [cid:image002.png@01D6FAF3.C0D638F0]

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