Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

30 July 2021

Papers citing "Unveiling the potential of Graph Neural Networks for robust Intrusion Detection"

6 / 6 papers shown

Title
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection Md Abrar Jahin Shri Kiran Srinivasan M. F. Mridha Raihan Kabir Md. Rashedul Islam Yutaka Watanobe Hezerul Abdul Karim 41 0 0 02 Mar 2025
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model Yasir Ali Farrukh S. Wali I. Khan Nathaniel D. Bastian 197 2 0 27 Aug 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems David Pujol-Perich José Suárez-Varela Miquel Ferriol Shihan Xiao Bo-Xi Wu A. Cabellos-Aparicio Pere Barlet-Ros GNN AI4CE 82 18 0 14 Sep 2021
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 56 183 0 16 Oct 2019
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 158 2,729 0 18 Nov 2015