Results 81 to 90 of about 116,308 (181)
AbstractTriples (p, n, r) for which there exists an r-regular Kn-free graph on p points are determined.
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An Overview of Co-Clustering via Matrix Factorization
Co-clustering algorithms have been widely used for text clustering and gene expression through matrix factorization. In recent years, diverse co-clustering algorithms which group data points and features synchronously have shown their advantages over ...
Renjie Lin, Shiping Wang, Wenzhong Guo
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Regular packings of regular graphs
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Gutiérrez, A., Lladó, A.S.
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Regular graphs with regular neighborhoods [PDF]
The existence of r-regular graphs such that each edge lies in exactly t triangles, for given integers t < r, is studied. If t is sufficiently close to r then each such connected graph has to be the complete multipartite graph. Relations to graphs with isomorphic neighborhoods are also considered.
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Regular Factors of Regular Graphs from Eigenvalues [PDF]
Let $r$ and $m$ be two integers such that $r\geq m$. Let $H$ be a graph with order $|H|$, size $e$ and maximum degree $r$ such that $2e\geq |H|r-m$. We find a best lower bound on spectral radius of graph $H$ in terms of $m$ and $r$. Let $G$ be a connected $r$-regular graph of order $|G|$ and $ k < r$ be an integer.
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Regular character degree graphs
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To address challenges in urban building digitization, such as data redundancy, structural ambiguity, and boundary inaccuracy, this paper proposes a topological reconstruction method integrating deep semantic segmentation and adjacency constraints ...
Ruihan Yao +5 more
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EC-PGMGR: Ensemble Clustering Based on Probability Graphical Model With Graph Regularization for Single-Cell RNA-seq Data. [PDF]
Zhu Y +5 more
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GReAT: A Graph Regularized Adversarial Training Method
This paper presents GReAT (Graph Regularized Adversarial Training), a novel regularization method designed to enhance the robust classification performance of deep learning models.
Samet Bayram, Kenneth Barner
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In satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai +4 more
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