1st GNNet Workshop

Graph Neural Networking Workshop
Co-located with ACM CoNEXT 2022
December 9 - 2022​


09:00 – 09:10 Welcome Pere Barlet-Ros and Pedro Casas
09:10 – 10:00 Keynote I: Graph neural networks: history and examples of new research directions
Franco Scarselli, University of Siena, Italy
10:00 – 10:40 Session I: GNN applied to routing data
  • Benchmarking Graph Neural Networks for Internet Routing Data

Dimitrios Panteleimon Giakatos, Sofia Kostoglou, Pavlos Sermpezis, Athena Vakali and Pavlos Sermpezis (Aristotle University of Thessaloniki, Greece)

  • Unveiling the Potential of Graph Neural Networks for BGP Anomaly Detection

Hamid Latif, Jordi Paillissé (Universitat Politècnica de Catalunya, Spain); Jinze Yang (Huawei Technologies Co., Ltd., China); Albert Cabellos-Aparicio and Pere Barlet-Ros (Universitat Politècnica de Catalunya, Spain)

10:40 – 11:00 Coffee break
11:00 – 11:40 Session II: GNN for network and cloud
  • GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks

Mehrdad Kiamari and Bhaskar Krishnamachari (University of Southern California, United States of America)

  • Modeling TCP Performance using Graph Neural Networks

Benedikt Jaeger, Max Helm, Lars Schwegmann and Georg Carle (Technical University of Munich, Germany)

11:40 – 12:30 Keynote II: Artificial Intelligence for Next Generation Telco industry
Diego Perino, Meta, Spain
12:30 – 13:30 Lunch Break
13:30 – 15:00 GNNet challenge Award Ceremony
  • Introduction and awards announcement (José Suárez-Varela)
  • Winning Solution: 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)

  • Second 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)

  • Third team: Net

Title: Beta Distribution based Leave-one-out Sample Ranking

Authors: Max Helm, Benedikt Jaeger (Technical University of Munich)

15:00 – 15:30 Coffee break
15:30 – 16:50 Session III: GNN for wireless and 5G
  • GROWS – Improving Decentralized Resource Allocation in Wireless Networks through Graph Neural Networks

Martín Randall, Pablo Belzarena, Federico Larroca (Universidad de la República, Uruguay) and Pedro Casas (AIT Austrian Institute of Technology, Austria)

  • Cross-network transferable neural models for WLAN interference estimation

Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben Houidi, Fuxing Chen, Dario Rossi and Jonatan Krolikowski (Huawei Technologies Co. Ltd, France)

  • 5GNN: Extrapolating 5G Measurement through GNNs

Wei Ye, Xinyue Hu, Tian Liu, Ruoyu Sun (University of Minnesota Twin Cities, United States of America); Yanhua Li (Worcester Polytechnic Institute, United States of America) and Zhi-Li Zhang (University of Minnesota Twin Cities, United States of America)

  • Throughput Optimization in Heterogeneous MIMO Networks: A GNN-based Approach

Ta-Yang Wang, Hongkuan Zhou (University of Southern California, United States of America); Rajgopal Kannan, Ananthram Swami (US Army Research Lab, United States of America) and Viktor Prasanna (University of Southern California, United States of America)

16:50 – 17:00 Closing