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On the optimal layout of (K p − C p ) n into grid and certain structures [PDF]
Scientific ReportsInterconnection networks constitute complex configurations of processors and communication links that facilitate data transmission between processors in a parallel computing system.
G. Caroline Vincy, David Raj Micheal
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Parameterized Algorithms for Book Embedding Problems [PDF]
Journal of Graph Algorithms and Applications, 2019 A $k$-page book embedding of a graph $G$ draws the vertices of $G$ on a line and the edges on $k$ half-planes (called pages) bounded by this line, such that no two edges on the same page cross. We study the problem of determining whether $G$ admits a $k$-page book embedding both when the linear order of the vertices is fixed, called ${\rm F{\small IXED}
Sujoy Bhore +3 more
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Two-Page Book Embeddings of 4-Planar Graphs [PDF]
Algorithmica, 2014 21 pages, 16 Figures.
Michael A. Bekos +2 more
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Book Review By Erin E Stiles Embedding Mahr in the European Legal System
Naveiñ Reet: Nordic Journal of Law and Social Research, 2015 No ...
Rubya Mehdi +2 more
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Early Childhood Education Papers, 2020 One of the character problems in early childhood is the lack of ability to be responsible, communicate, and cooperate. These three main behaviors are characteristics of leadership behavior.
Sinthia Nurul Fitri, Edi Waluyo
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IEEE AccessBook recommendations are crucial in digital library transformation, enhancing service sophistication and customization. They allow readers to access books tailored to their specific interests.
Yafeng Kong
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Book Review: Embeddings in manifolds [PDF]
Bulletin of the American Mathematical Society, 2011 J. W. Cannon
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On dispersable book embeddings [PDF]
Theoretical Computer Science, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alam, Jawaherul Md. +5 more
openaire +5 more sources
A graph neural network recommendation algorithm based on multi-scale attention and contrastive learning [PDF]
Scientific ReportsWhen facing sparse user–item interaction data, recommendation systems often struggle to learn high-quality representations, which in turn affects the recommendation performance.
Dongqi Pu +4 more
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