High bills don’t always come from big problems. Sometimes it’s the tiny gaps you stop seeing that slowly drain your money and ...
Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...
Water is getting pricier, summers drier, and most of us still let litres rush straight down the drain while we wash our hands ...
Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
Five years and counting in the digital lifestyle media space, I cover cleaning, organizing, decorating, renovating, and everything else that helps you live your best life (when you're not cooking!) in ...
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