Results 11 to 20 of about 1,011,259 (278)
Equimatchable Bipartite Graphs
A graph is called equimatchable if all of its maximal matchings have the same size. Lesk et al. [Equi-matchable graphs, Graph Theory and Combinatorics (Academic Press, London, 1984) 239–254] has provided a characterization of equimatchable bipartite ...
Büyükçolak Yasemin +2 more
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The Bipartite-Splittance of a Bipartite Graph
A bipartite-split graph is a bipartite graph whose vertex set can be partitioned into a complete bipartite set and an independent set. The bipartite- splittance of an arbitrary bipartite graph is the minimum number of edges to be added or removed in ...
Yin Jian-Hua, Guan Jing-Xin
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A review of recommendation system research based on bipartite graph [PDF]
The interaction history between users and items is usually stored and displayed in the form of bipartite graphs. Neural network recommendation based on the user-item bipartite graph has a significant effect on alleviating the long-standing data ...
Wu Ziteng +3 more
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Multi-Robot Active Mapping via Neural Bipartite Graph Matching [PDF]
We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimation to enable more efficient robot movements.
Kai Ye +7 more
semanticscholar +1 more source
Concatenating Bipartite Graphs
Let $x,y\in (0,1]$, and let $A,B,C$ be disjoint nonempty stable subsets of a graph $G$, where every vertex in $A$ has at least $x|B|$ neighbours in $B$, and every vertex in $B$ has at least $y|C|$ neighbours in $C$, and there are no edges between $A,C$.
Chudnovsky, M +4 more
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Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis [PDF]
We present a novel bipartite graph reasoning Generative Adversarial Network (BiGraphGAN) for two challenging tasks: person pose and facial image synthesis.
Hao Tang +3 more
semanticscholar +1 more source
Signed Bipartite Graph Neural Networks [PDF]
Signed networks are such social networks having both positive and negative links. A lot of theories and algorithms have been developed to model such networks (e.g., balance theory).
Junjie Huang +4 more
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BIPARTITE STEINHAUS GRAPHS [PDF]
A Steinhaus matrix is a symmetric 0-1 matrix \([a_{i,j}]_{n\times n}\) such that \(a_{i,j}= 0\) for \(0\leq i\leq n-1\) and \(a_{i,j}\equiv (a_{i- 1,j-1}+ a_{i-1,j})\pmod 2\) for \(1\leq i\leq n-1\). A Steinhaus graph is a graph whose adjacency matrix is a Steinhaus matrix. In this paper Lee and Chang prove that if \(G\) is a Steinhaus graph of order \(
Lee, Yueh-Shin, Chang, G. J.
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Packing bipartite graphs with covers of complete bipartite graphs [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chalopin, Jérémie, Paulusma, Daniël
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On bipartite‐mixed graphs [PDF]
AbstractMixed graphs can be seen as digraphs that have both arcs and edges (or digons, that is, two opposite arcs). In this article, we consider the case where such graphs are bipartite. As main results, we show that in this context the Moore‐like bound is attained in the case of diameter , and that bipartite‐mixed graphs of diameter do not exist.
Dalfó Simó, Cristina +2 more
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