RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band
Radiomap Reconstruction via Graph Attention Networks

RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks

25 March 2024

Xiaojie Li

Guangxu Zhu

Papers citing "RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks"

5 / 5 papers shown

Title
Data-Driven Radio Propagation Modeling using Graph Neural Networks Adrien Bufort Laurent Lebocq Stefan Cathabard GNN 77 3 0 08 Jan 2025
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI Dingzhu Wen Peixi Liu Guangxu Zhu Yuanming Shi Jie Xu Yonina C. Eldar Shuguang Cui 60 114 0 03 Jul 2022
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning cCaugkan Yapar Ron Levie Gitta Kutyniok Giuseppe Caire 50 20 0 01 Feb 2022
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,138 0 30 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 105 3,049 0 19 Oct 2017