Graph-based Deep Learning for Communication Networks: A Survey

4 June 2021

Papers citing "Graph-based Deep Learning for Communication Networks: A Survey"

6 / 6 papers shown

Title
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection Yalu Wang Zhijie Han Jie Li Xin He 25 1 0 07 Apr 2023
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions Mengyuan Lee Guanding Yu H. Dai Geoffrey Ye Li 35 29 0 08 Dec 2022
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework Shichang Ding Xiangyang Luo Jinwei Wang Xiaoming Fu 32 14 0 18 Dec 2021
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms Liyan Chang Paula Branco 16 37 0 26 Nov 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 37 21 0 02 May 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 42 39 0 19 Apr 2021