In this paper, the bipartite graph optimal-matching algorithm is adopted in the distribution of tasks, which enables different levels of students to be assigned to their best tasks and greatly improves the class effect of "task-driven" teaching method. Through the data analysis of the ...
The purpose of this note is to show that a bipartite graph has an equivalent compact digraph representation and indicate its applications.doi:10.1080/00207168108803262BhatKabekode V.S.Gordon and Breach Science PublishersInternational Journal of Computer Mathematics...
结果:作者发现,在处理复杂的图推理问题时,如哈密顿路径(Hamilton path)和二分图匹配(bipartite graph matching),使用更多样本的上下文学习并没有提高模型的性能,反而零样本学习表现得更好。 Method:作者提出两个提高Performance的方法 (1)Build-a-Graph Prompting:作者认为将图的文本描述映射到实际概念空间可能会有帮助...
Many graph problems become: easier if the underlying graph is bipartite (matching) tractable if the underlying graph is bipartite (independent set) Before attempting to design an algorithm, we need to understand structure of bipartite graphs. An Obstruction to Bipartiteness Lemma. If a graph G is...
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IsBipartite .gitignore README.md Repository files navigation README IsBipartite Simple console application which checks if graph is bipartite.About Simple console application which checks if graph is bipartite. Resources Readme Activity Stars 0 stars Watchers 1 watching Forks 0 forks Repo...
Firstly, we explore the poset of compatible topologies on graphs and in particular on bipartite graphs. Then, from a graph we construct a particular compatible Alexandroff topological space said homeomorphic-equivalent to the graph. Conversely, from any Alexandroff topology we construct an isomorphic-...
The bound 2m is also derivable from a characterization of regularizable graphs stated by Pulleyblank, and regularizability for graphs with nonbipartite components can be tested via the Bourjolly-Pulleyblank algorithm for testing 2-bicriticality in O(nm) time. We show that using the above boun...
Fern, X.Z., Brodley, C.E.: Solving cluster ensemble problems by bipartite graph partitioning. In: ICML 2004 (2004) Google Scholar Ghani, R.: Combining labeled and unlabeled data for text classification with a large number of categories. In: ICDM 2001, pp. 597–598 (2001) Google Scholar...