3rd GNNet Workshop

Graph Neural Networking Workshop
Co-located with ACM CoNEXT 2024
December 9, 2024

Program

program

08:00 – 09:00	Breakfast
09:00 – 09:10	Welcome Pere Barlet-Ros
09:10 – 10:00	Keynote I: Data, AI and Cybersecurity – A Possible Cocktail? Marco Mellia, Politecnico di Torino, Italy
10:00 – 10:40	Session 1: GNNs for Community & Anomaly Detection Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current Approaches Nelson Aloysio Reis de Almeida Passos (University of Pisa / CNR-ISTI); Emanuele Carlini, Salvatore Trani (CNR-ISTI) Detecting Edge and Node Anomalies with Temporal GNNs Andrea Cavallo (TU Delft); Luca Gioacchini, Luca Vassio, Marco Mellia (Politecnico di Torino)
10:40 – 11:00	Coffee break
11:00 – 11:40	Session 2: GNNs for Network Modeling & Simulation Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling Carlos Güemes Palau, Miquel Ferriol Galmés, Jordi Paillisse Vilanova, Albert López Brescó, Pere Barlet Ros, Albert Cabellos Aparicio (Barcelona Neural Networking Center, Universitat Politècnica de Catalunya) Sim2HW: Modeling Latency Offset Between Network Simulations and Hardware Measurements Johannes Späth, Max Helm, Benedikt Jaeger, Georg Carle (Technical University of Munich)
11:40 – 12:30	Keynote II: Beyond the Graph Domain: Network Modeling meets Topological Deep Learning Guillermo Bernárdez, UC Santa Barbara, USA
12:30 – 14:00	Lunch
14:00 – 15:30	Session 3: GNNs for Network Security & Privacy AST-GNN: A Graph Neural Network for Web Tracking Detection Eloy Campeny-Roig, Ismael Castell-Uroz (Universitat Politècnica de Catalunya); Pere Barlet-Ros (Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Spain) VulnScopper: Unveiling Hidden Links Between Unseen Security Entities Daniel Alfasi (Reichman University); Tal Shapira (Hebrew University); Anat Bremler-Barr (Tel Aviv University) Towards a Graph-based Foundation Model for Network Traffic Analysis Louis Van Langendonck, Ismael Castell-Uroz (Universitat Politècnica de Catalunya); Pere Barlet-Ros (Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Spain)
15:30 – 16:00	Coffee break
16:00 – 16:40	Session 4: GNNs for Network Optimization EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions Mariana del Castillo (School of Engineering – Universidad de la Republica); Alejandro Ribeiro (University of Pennsylvania); Federico Larroca (School of Engineering – Universidad de la Republica) Dynamic Service Function Chaining Provisioning with Reinforcement Learning Graph Neural Network Brigitte Jaumard, Charles Boudreau (Concordia University); Emil Janulewicz (Ciena)
16:40 – 17:00	Closing

2nd GNNet Workshop

Graph Neural Networking Workshop
Co-located with ACM CoNEXT 2023
December 8, 2023

Program

09:00 – 09:10	Welcome Pere Barlet-Ros and Pedro Casas
09:10 – 10:00	Keynote I: Medical Digital Twin with Graph Representation Learning. Pietro Liò, University of Cambridge, UK
10:00 – 10:40	Session I: GNN for traffic compression Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks Paul Almasan (Telefónica Research); Krzysztof Rusek (AGH University of Science and Technology); Shihan Xiao, Xiang Shi, Xiangle Cheng (Network Technology Lab., Huawei Technologies Co., Ltd.); Albert Cabellos, Pere Barlet-Ros (Barcelona Neural Networking Center, Universitat Politècnica de Catalunya) Topological Network Traffic Compression Guillermo Bernárdez (Universitat Politecnica de Catalunya); Lev Telyatnikov (Sapienza Università di Roma); Eduard Alarcon (Universitat Politecnica de Catalunya); Albert Cabellos-Aparicio, Pere Barlet-Ros (Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Spain); Pietro Liò (University of Cambridge)
10:40 – 11:00	Coffee break
11:00 – 11:40	Session II: GNN for network modeling Predicting Latency Quantiles using Network Calculus-assisted GNNs Max Helm, Georg Carle (Technical University of Munich) Active Few-shot Learning For RouteNet-Fermi Xiaoyi FU, Menghan SHAO (HKUST); Songze Li (SEU); Liuqing YANG (HKUST)
11:40 – 12:30	Keynote II: Foundational + specialized models for network operations Dario Rossi, Huawei Paris Research Center, France
12:30 – 14:00	Lunch
14:00 – 15:30	GNNet challenge Award Ceremony Introduction and awards announcement (Albert Cabellos and Carlos Güemes) Winning Solution: m0b1us team Authors: Cláudio Matheus Modesto, Andrey Silva, Silvia Lins, Rebecca Aben-Athar Second team: BUPT_CMCC Authors: Zicheng Wang, Yuanjie Duan, Danyang Chen, Lingqi Guo Third team: LKN Authors: Kaan Aykurt, Johannes Zerwas, Serkut Ayvasik, Maximilian Stephan
15:30 – 16:00	Coffee break
16:00 – 17:00	Session III: GNN for network security Detecting Contextual Network Anomalies with Graph Neural Networks Hamid Latif Martínez (Universitat Politècnica de Catalunya); José Suárez-Varela (Telefónica Research); Albert Cabellos-Aparicio, Pere Barlet-Ros (Universitat Politècnica de Catalunya) Exploring Temporal GNN Embeddings for Darknet Traffic Analysis Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio (Politecnico di Torino) Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception Mohamed Osman, Tamer Nadeem (Virginia Commonwealth University); Ahmed Hemida, Charles Kamhoua (DEVCOM Army Research Laboratory)
17:00 – 17:1 0	Closing

1st GNNet Workshop

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

Program

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