IEEE

Distributed Graph Neural Network Design for Sum Ergodic Spectral Efficiency Maximization in Cell-Free Massive MIMO

Abstract: This paper proposes a distributed learning-based framework to tackle the sum ergodic rate maximization problem in cell-free massive multiple-input multiple-output (MIMO) systems by utilizing ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
World Scientific

Laplacian spectral metrics of some graph operations

School of Mathematics and Statistics, Qinghai Normal University, Xining 810008, Qinghai, P. R. China State Key Laboratory for Tibetan Intelligent Information Processing and Application, Xining 810008, ...
IEEE

Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars

Abstract: Graph Neural Networks (GNNs) have attracted increasing research interest for their remarkable capability to model graph-structured knowledge. However, GNNs suffer from intensive data ...