spaCI: deciphering spatial cellular communications through adaptive graph model
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac563
Abstract: Abstract Cell–cell communications are vital for biological signalling and play important roles in complex diseases. Recent advances in single-cell spatial transcriptomics (SCST) technologies allow examining the spatial cell communication landscapes and hold the promise for… read more here.
Keywords: cell; cellular communications; spaci; graph model ... See more keywords
Adaptive Graph Representation for Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221150
Abstract: Many graph construction methods for clustering cannot consider both local and global data structures in the construction of initial graph. Meanwhile, redundant features or even outliers and data with important characteristics are addressed equally in… read more here.
Keywords: graph construction; graph; representation graph; representation ... See more keywords
Hyperspectral Image Classification Based on Superpixel Feature Subdivision and Adaptive Graph Structure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3153446
Abstract: The graph-based hyperspectral image classification (HSIC) method has attracted wide attention because it can extract information with a non-Euclidean structure. Many graph-based HSIC works have achieved good results, but unresolved technical issues remain. For example,… read more here.
Keywords: structure; graph structure; classification; graph ... See more keywords
Discriminative Regression With Adaptive Graph Diffusion.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185408
Abstract: In this article, we propose a new linear regression (LR)-based multiclass classification method, called discriminative regression with adaptive graph diffusion (DRAGD). Different from existing graph embedding-based LR methods, DRAGD introduces a new graph learning and… read more here.
Keywords: regression adaptive; regression; discriminative regression; graph diffusion ... See more keywords
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2020.3046217
Abstract: This paper develops adaptive graph filters that operate in reproducing kernel Hilbert spaces. We consider both centralized and fully distributed implementations. We first define nonlinear graph filters that operate on graph-shifted versions of the input… read more here.
Keywords: performance; reproducing kernel; graph; adaptive graph ... See more keywords
Proportionate Adaptive Graph Signal Recovery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2023.3277591
Abstract: This paper generalizes the proportionate-type adaptive algorithm to the graph signal processing and proposes two proportionate-type adaptive graph signal recovery algorithms. The gain matrix of the proportionate algorithm leads to faster convergence than least mean… read more here.
Keywords: proportionate type; graph signal; graph; adaptive graph ... See more keywords
STDP-based adaptive graph convolutional networks for automatic sleep staging
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1158246
Abstract: Automatic sleep staging is important for improving diagnosis and treatment, and machine learning with neuroscience explainability of sleep staging is shown to be a suitable method to solve this problem. In this paper, an explainable… read more here.
Keywords: sleep staging; graph convolutional; adaptive graph; automatic sleep ... See more keywords
Topology Adaptive Graph Estimation in High Dimensions
Sign Up to like & getrecommendations! Published in 2022 at "Mathematics"
DOI: 10.3390/math10081244
Abstract: We introduce Graphical TREX (GTREX), a novel method for graph estimation in high-dimensional Gaussian graphical models. By conducting neighborhood selection with TREX, GTREX avoids tuning parameters and is adaptive to the graph topology. We compared… read more here.
Keywords: graph estimation; topology; graph; adaptive graph ... See more keywords