Results 11 to 20 of about 168,521 (260)
Domain Entity Extraction Method Based on Graph Sorting and Maximal Information Gain [PDF]
Jisuanji gongcheng, 2022 Domain knowledge graphs play an important role in various industries, and the acquisition of the domain entity is an important basis for their construction.However, existing approaches frequently rely on human work such as data annotation and the ...
ZHANG Xiaoming, ZHENG Lixin, WANG Huiyong
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On the Fractionalization of the Shift Operator on Graphs
IEEE Access, 2022 The theory of graph signal processing has been established with the purpose of generalizing tools from classical digital signal processing to the cases where the signal domain can be modeled by an arbitrary graph.
Guilherme B. Ribeiro +2 more
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A dual‐modal graph attention interaction network for person Re‐identification
IET Computer Vision, 2023 Person Re‐identification (Re‐ID) is a task of matching target pedestrians under cross‐camera surveillance. Learning discriminative feature representations is the main issue for person Re‐ID.
Wen Wang, Gaoyun An, Qiuqi Ruan
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Balancedness and the Least Laplacian Eigenvalue of Some Complex Unit Gain Graphs
Discussiones Mathematicae Graph Theory, 2020 Let 𝕋4 = {±1, ±i} be the subgroup of 4-th roots of unity inside 𝕋, the multiplicative group of complex units. A complex unit gain graph Φ is a simple graph Γ = (V (Γ) = {v1, . . .
Belardo Francesco +2 more
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A Matrix Approach for Analyzing Signal Flow Graph
Information, 2020 Mason’s gain formula can grow factorially because of growth in the enumeration of paths in a directed graph. Each of the (n − 2)! permutation of the intermediate vertices includes a path between input and output nodes.
Shyr-Long Jeng +2 more
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Density Gain-Rate Peaks for Spectral Clustering
IEEE Access, 2021 Clustering has been troubled by varying shapes of sample distributions, such as line and spiral shapes. Spectral clustering and density peak clustering are two feasible techniques to address this problem, and have attracted much attention from academic ...
Jiexing Liu, Chenggui Zhao
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Gain-line graphs via G-phases and group representations [PDF]
Linear Algebra and its Applications, 2021 Let $G$ be an arbitrary group. We define a gain-line graph for a gain graph $( , )$ through the choice of an incidence $G$-phase matrix inducing $ $. We prove that the switching equivalence class of the gain function on the line graph $L( )$ does not change if one chooses a different $G$-phase inducing $ $ or a different representative of the ...
Matteo Cavaleri +2 more
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New Journal of Physics, 2021 Non-Hermitian (NH) topological states, such as the doubly-degenerate nodes dubbed as exceptional points (EPs) in Bloch band structure of 2D lattices driven by gain and loss, have attracted much recent interest.
Hang Liu, Sheng Meng, Feng Liu
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Certain operations on interval-valued picture fuzzy graphs with application
International Journal of Mathematics for Industry, 2023 Graph theory has various applications in computer science, such as image segmentation, clustering, data mining, image capturing, and networking. Fuzzy graph (FG) theory has been widely adopted to handle uncertainty in graph-related problems.
Biswajit Das Adhikari +3 more
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A Hierarchical Parallel Graph Summarization Approach Based on Ranking Nodes
Applied Sciences, 2023 Graph summarization techniques are vital in simplifying and extracting enormous quantities of graph data. Traditional static graph structure-based summarization algorithms generally follow a minimum description length (MDL) style, and concentrate on ...
Qiang Liu, Jiaxing Wei, Hao Liu, Yimu Ji
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