The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
José Suárez‐Varela, Albert Cabellos‐Aparicio(Universitat Politècnica de Catalunya), Stefan Venz(Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Christian Maier(University of Salzburg), David Pujol-Perich(Universitat Politècnica de Catalunya), François Schnitzler, Guillermo Bernárdez(Universitat Politècnica de Catalunya), Shihan Xiao(Huawei Technologies (United Kingdom)), Martin Happ(University of Salzburg), J. Wegener(Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Henrike Wissing(Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Krzysztof Rusek(AGH University of Krakow), François Taı̈ani(Centre National de la Recherche Scientifique), Peter Dorfinger(University of Salzburg), Loïck Bonniot(Centre National de la Recherche Scientifique), Matthias Herlich(University of Salzburg), Miquel Ferriol-Galmés(Universitat Politècnica de Catalunya), Paul Almasan(Universitat Politècnica de Catalunya), Nick Vincent Hainke(Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Bo Wu(Huawei Technologies (China)), Christoph Neumann, Pere Barlet‐Ros, Jia Lei Du(University of Salzburg), Albert València López(Universitat Politècnica de Catalunya)
Cited by 6
Related Papers
Network digital twin: context, enabling technologies, and opportunities
|UPCommons institutional repository (Universitat Politècnica de Catalunya)|2022|162
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
|IEEE Network|2022|102
RouteNet-Fermi: Network Modeling With Graph Neural Networks
|IEEE/ACM Transactions on Networking|2023|93
“Real impact”: Challenges and opportunities in bridging the gap between research and practice – Making a difference in industry, policy, and society
|International Journal of Information Management|2024|91
Building a Digital Twin for network optimization using Graph Neural Networks
|Computer Networks|2022|68