Graph Neural Networking Challenge 2021

We are super proud to announce the "Graph Neural Networking challenge 2021", in the first edition of the Challenge in 2020, over 1300 students and professionals from 62 countries competed for global recognition and prizes.

The challenge is an international competition on Graph Neural Networks applied to communication networks, organized as part of the "ITU AI/ML in 5G Challenge".

The Challenge is to Create a Scalable Network Digital Twin

Registration is now open and free of charge for all participants (Deadline Aug 31st). Top-3 teams will have access to the global round of the "ITU AI/ML in 5G Challenge": https://aiforgood.itu.int/ai-ml-in-5g-challenge

There will be cash prizes of 5,000 CHF for the 1st team, 3,000 CHF for the 2nd team, 2,000 CHF for the 3rd team, and various certificates.

GNN will provide several resources and tips to easily start working on the challenge, you can learn more about the challenge here:

https://bnn.upc.edu/challenge/gnnet2021

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About GNN (iGNNition)

Graph Neural Networks (GNN) emerged as the only AI solution capable of generalizing to unseen networks.

This allows a vendor to train a GNN-based AI algorithm and deploy it as-is on any operator’s network. However, developing a GNN is a cumbersome task that requires AI experts with deep skills.

In this project, iGNNition aims to address this issue, by allowing the Internet community at large to take advantage of GNN without requiring such skills.

We thus present IGNNITION, a framework for fast prototyping of Graph Neural Networks.