121 citations · 194 across the 8 of their papers we have counts for
5 papers · 1 filter
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions
Mengyuan Lee, Guanding Yu, Huaiyu Dai +1
As an efficient graph analytical tool, graph neural networks (GNNs) have special properties that are particularly fit for the characteristics and requirements of wireless communica…
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
Mengyuan Lee, Guanding Yu, Huaiyu Dai
As an efficient neural network model for graph data, graph neural networks (GNNs) recently find successful applications for various wireless optimization problems. Given that the i…
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee, Guanding Yu, Huaiyu Dai
Graph neural network (GNN) is an efficient neural network model for graph data and is widely used in different fields, including wireless communications. Different from other neura…
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
Mengyuan Lee, Ning Ma, Guanding Yu +1
Generalized Benders decomposition (GBD) is a globally optimal algorithm for mixed integer nonlinear programming (MINLP) problems, which are NP-hard and can be widely found in the a…
Learning to Branch: Accelerating Resource Allocation in Wireless Networks
Mengyuan Lee, Guanding Yu, Geoffrey Ye Li
Resource allocation in wireless networks, such as device-to-device (D2D) communications, is usually formulated as mixed integer nonlinear programming (MINLP) problems, which are ge…