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Found 3 papers, 1 papers with code
Attentional Graph Neural Networks for Robust Massive Network Localization
To tap the potential of GNNs in regression, this paper integrates GNNs with attention mechanism, a technique that revolutionized sequential learning tasks with its adaptability and robustness, to tackle a challenging nonlinear regression problem: network localization.
Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications
Based on an equivalent plate model, we develop and validate analytical formulas for the behavioral specifications of OADLC mechanisms; the analytical formulas can be described as expressions of design parameters.
Robotics
Graph Neural Network for Large-Scale Network Localization
In this work, we adopt GNN for a classic but challenging nonlinear regression problem, namely the network localization.
