ITU Graph Neural Network Challenge 2023

W00CGN-newscat-lkn |

TUM-LKN team is awarded 3rd rank

A team of LKN researchers (Kaan Aykurt, Maximilian Stephan, Serkut Ayvasik, Johannes Zerwas) participated in the Graph Neural Network Challenge 2023 and obtained the 3rd place with their GNN solution. Kaan Aykurt is invited to present the solution at the ACM CoNEXT GNN workshop 2023, Paris, Dec. 8, 2023.

More on the ITU AI/ML in 5G Challenge and the ranking: https://bnn.upc.edu/challenge/gnnet2023/

 


Recent Publications

  • Diederich, Philip; Grigorjew, Alexej; Geißler, Stefan; Hoßfeld, Tobias; Kellerer, Wolfgang;: The Effects of Topologies on the Performance of Real-Time Networks. 10th IEEE International Conference on Network Softwarization (NetSoft), 2024 more…
  • Bermudez Serna, Cristian; Sharma, Anjali; Mas-Machuca, Carmen: Impact of Graphs and Methodologies on Optical Access Networks Planning. 24th International Conference on Transparent Optical Networks, 2024 more…
  • Wenning, Mario; Berl, Jonas; Fehenberger, Tobias; Mullan, Ciarán; Grießer, Helmut; Rydlichowski, Piotr; Schmalen, Laurent; Mas-Machuca, Carmen: Quantum Key Management System with Dynamic Routing for Meshed QKD Networks. 2024 Optical Fiber Communications Conference and Exhibition (OFC), 2024 more…