North America held a dominant market position, capturing more than a 34.26% share, holding USD 5.56 billion in revenue.
Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
This repository implements a Morphology-Inspired Heterogeneous Graph Neural Network (MI-HGNN) for estimating contact information on the feet of a quadruped robot. For more details, see our publication ...
The house measures 7.3 x 2.6 meters (24 x 8.6 ft) and sits on a custom trailer. It has a total floor space of 22 square meters (240 sq ft) which is not a lot by any standards. Donald Trump changes his ...
Abstract: In this paper, we design Graph Neural Networks (GNNs) with attention mechanisms to tackle an important yet challenging nonlinear regression problem: massive network localization. We first ...
Technology solutions for accessibility have long been created using a narrow utilitarian lens, especially in the Global South due to multi-dimensional challenges and resource constraints—an emphasis ...
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