Results 51 to 60 of about 24,126 (306)
Regular embeddings of a graph [PDF]
In this paper we study embeddings of a graph G in Euclidean space R" that are 'regular' in the following sense: given any two distinct vertices u and v of G, the distance between the corresponding points in R" equals a if u and v are adjacent, and equals β otherwise.
openaire +3 more sources
Probabilistic regular graphs [PDF]
In Proceedings INFINITY 2010, arXiv:1010 ...
Bertrand, Nathalie, Morvan, Christophe
openaire +4 more sources
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Structured Sparsity with Group-Graph Regularization
In many learning tasks with structural properties, struc-tural sparsity methods help induce sparse models, usu-ally leading to better interpretability and higher gener-alization performance.
Jia-jun Chen +9 more
core +1 more source
ObjectivesIn order to solve the problems of low efficiency of fault feature extraction, inaccurate feature representation, and difficulty in adapting existing methods to complex signal requirements in wind turbine bearing fault diagnosis, a fault ...
LIU Zhan +3 more
doaj +1 more source
Building a Graph Signal Processing Model Using Dynamic Time Warping for Load Disaggregation
Building on recent unsupervised Non-intrusive load monitoring (NILM) algorithms that use graph Laplacian regularization (GLR) and achieve state-of-the-art performance, in this paper, we propose a novel unsupervised approach to design an underlying graph ...
Kanghang He +2 more
doaj +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Graph Neural Networks have emerged as powerful tools for analyzing graph-structured data. However, their performance often varies across datasets due to challenges such as noisy edges, sparse connectivity, and over-smoothing in deep layers.
Vinay Santhosh Chitla +3 more
doaj +1 more source
Precision medicine has become a novel and rising concept, which depends much on the identification of individual genomic signatures for different patients.
Na-Na Guan +5 more
doaj +1 more source
Factorizations of regular graphs
Let G be a k-regular graph of order 2n such that \(k\geq n\). \textit{A. J. W. Hilton} [J. Graph Theory 9, 193-196 (1985; Zbl 0624.05050)] proved that G contains at least \(\lfloor k/3\rfloor\) edge-disjoint 1-factors. Hilton's theorem is improved in this paper that G contains at least \(\lfloor k/2\rfloor\) edge-disjoint 1-factors.
Cun-Quan Zhang, Yongjin Zhu
openaire +2 more sources

