Showing 361 - 380 results of 533 for search '"bipartite graph"', query time: 0.09s Refine Results
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  3. 363

    The Projection Games Conjecture and the NP-Hardness of ln n-Approximating Set-Cover by Moshkovitz Aaronson, Dana Hadar

    Published 2014
    “…The modification uses a combinatorial construction of a bipartite graph in which any coloring of the first side that does not use a color for more than a small fraction of the vertices, makes most vertices on the other side have their neighbors all colored in different colors.…”
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  4. 364

    Radio Labeling of Supersub—Division of Path Graphs by Baskar Mari, Ravi Sankar Jeyaraj

    Published 2023-01-01
    “…In this paper, we determine the radio number <inline-formula> <tex-math notation="LaTeX">$rn(G)$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$G$ </tex-math></inline-formula> where <inline-formula> <tex-math notation="LaTeX">$G$ </tex-math></inline-formula> is the supersub&#x2212;division of a path <inline-formula> <tex-math notation="LaTeX">$P_{n}$ </tex-math></inline-formula> with <inline-formula> <tex-math notation="LaTeX">$n \geq 3$ </tex-math></inline-formula> vertices and a complete bipartite graph <inline-formula> <tex-math notation="LaTeX">$K_{2, \alpha }$ </tex-math></inline-formula> with <inline-formula> <tex-math notation="LaTeX">$\alpha \in \mathbb {N}$ </tex-math></inline-formula>.…”
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  5. 365

    An algebraic semigroup method for discovering maximal frequent itemsets by Liu Jiang, Li Jing, Ni Feng, Xia Xiang, Li Shunlong, Dong Wenhui

    Published 2022-11-01
    “…In the literature, generating maximal frequent itemsets proves either to be NP-hard or to have O(l34l(m+n))O\left({l}^{3}{4}^{l}\left(m+n)) complexity in the worst case from the perspective of generating maximal complete bipartite graphs of a bipartite graph, where mm, nn are the item number and the transaction number, respectively, and ll denotes the maximum of ∣C∣∣Ψ(C)∣/(∣C∣+∣Ψ(C)∣−1)| C| | \Psi \left(C)| \hspace{0.1em}\text{/}\hspace{0.1em}\left(| C| +| \Psi \left(C)| -1), with the maximum taken over all maximal frequent itemsets CC. …”
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  6. 366

    On the $ A_{\alpha^-} $-spectra of graphs and the relation between $ A_{\alpha} $- and $ A_{\alpha^-} $-spectra by Wafaa Fakieh, Zakeiah Alkhamisi, Hanaa Alashwali

    Published 2024-01-01
    “…Akbari et al. in $ (2010) $ as follows: for $ \alpha\in[\frac{1}{2}, 1) $, if $ \, \, \, 0 &lt; \beta\leq 1 $ or $ \, 2\leq\beta\leq 3 $, then $ S^{\alpha}_{\beta}(G)\geq S^{\alpha^-}_{\beta}(G), $ and if $ \, 1\leq\beta\leq 2 $, then $ S^{\alpha}_{\beta}(G)\leq S^{\alpha^-}_{\beta}(G), $ where the equality holds if and only if $ G $ is a bipartite graph such that $ \beta \notin \{1, 2, 3\}. …”
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  7. 367

    Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets by S. Bhaskaran, Raja Marappan, B. Santhi

    Published 2020-07-01
    “…The significant differences are obtained in these methods because the structure of computation of the methods depends on the number of user attributes, λ, the number of bipartite graph edges, and |L|. The better values of the (<i>Precision</i>, <i>Recall</i>) metrics obtained with size as 3000 for the large scale <i>Book-Crossing</i> dataset in the proposed methods are (0.0004, 0.0042) and (0.0004, 0.0046) respectively. …”
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  8. 368

    MFIDMA: A Multiple Information Integration Model for the Prediction of Drug–miRNA Associations by Yong-Jian Guan, Chang-Qing Yu, Yan Qiao, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Yue-Chao Li, Jie Pan

    Published 2022-12-01
    “…Specifically, we first formulated known DMA as a bipartite graph and utilized structural deep network embedding (SDNE) to learn the topological features from the graph. …”
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  9. 369

    A Multimedia Graph Collaborative Filter by Jingzhou Sun, He Chang, Wenxuan Zhao, Youjian Yu, Lifang Yang, Xianglin Huang

    Published 2022-01-01
    “…However, the users&#x2019; preferences for different modalities are unknown. The bipartite graph structure for the entire modalities should differ from the single modality. …”
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  10. 370

    Efficient crowdsourcing for multi-class labeling by Karger, David R, Oh, Sewoong, Shah, Devavrat

    Published 2021
    “…Technically, the algorithm is based on low-rank approximation of weighted adjacency matrix for a random regular bipartite graph, weighted according to the answers provided by the workers.…”
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  11. 371

    Efficient crowdsourcing for multi-class labeling by Karger, David R, Oh, Sewoong, Shah, Devavrat

    Published 2022
    “…Technically, the algorithm is based on low-rank approximation of weighted adjacency matrix for a random regular bipartite graph, weighted according to the answers provided by the workers.…”
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  12. 372

    Every graph is local antimagic total and its applications by Gee-Choon Lau, Karl Schaffer, Wai Chee Shiu

    Published 2023-07-01
    “…We then determined the exact \(\chi_{lat}(G)\), where \(G\) is a complete bipartite graph, a path, or the Cartesian product of two cycles. …”
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  13. 373

    Assessing the Vulnerability of the Fiber Infrastructure to Disasters by Zussman, Gil, Cohen, Reuven, Neumayer, Sebastian J., Modiano, Eytan H

    Published 2018
    “…First, we consider a simplistic bipartite graph model and present a polynomial-time algorithm for finding a worst-case vertical line segment cut. …”
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  16. 376

    Efficient crowdsourcing for multi-class labeling by Karger, David R., Oh, Sewoong, Shah, Devavrat

    Published 2014
    “…Technically, the algorithm is based on low-rank approximation of weighted adjacency matrix for a random regular bipartite graph, weighted according to the answers provided by the workers.…”
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  17. 377

    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem by Lee, Lai Soon, Nazif, Habibeh

    Published 2009
    “…During crossover, the OCGA selects two parents from the population and replaces them with two children by an optimized crossover mechanism which designed using an undirected bipartite graph. Various techniques are also introduced to further enhance the solution quality. …”
    Conference or Workshop Item
  18. 378

    Heterogeneous graph construction and HinSAGE learning from electronic medical records by Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Tae Joon Jun, Young-Hak Kim

    Published 2022-12-01
    “…This study aims to address the challenge of implementing a complex and highly heterogeneous dataset, including the following: (1) demonstrating how to build a multi-attributed and multi-relational graph model (2) and applying a downstream disease prediction task of a patient’s prognosis using the HinSAGE algorithm. We present a bipartite graph schema and a graph database construction in detail. …”
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  19. 379

    SilkMoth: an efficient method for finding related sets with maximum matching constraints by Deng, Dong, Kim, Albert, Madden, Samuel R, Stonebraker, Michael

    Published 2019
    “…A common metric is to measure the relatedness of two sets by treating the elements as vertices of a bipartite graph and calculating the score of the maximum matching pairing between elements. …”
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