Weighted graphs in graph theory are created by weighing different values depending on the importance of connections or centers in a graph model. Networks can be modeled with graphs such that the devices and centers correspond to the vertices and connections correspond to the edges. In these ...
Relations on a finite set V are viewed as weighted graphs. Using the language of graph theory two methods of partitioning V are examined. In one method, partitionings of V are obtained by selecting threshold values and applying them to a maximal weighted spanning forest. In another method a...
Tamassia and Tollis (1986) presented conditions for the strong visibility representation of directed unweighted ordered graphs were presented. In Section 5, these conditions are strengthened for the weighted case.关键词: Theoretical or Mathematical/ computational complexity computational geometry graph theory...
ugh weighted graphs Facets of the linear ordering polytope: A unification for the fence family through weighted graphsFacets of the linear ordering polytope: A unification for the fence family through weighted graphsTheoretical or Mathematical/ graph theory...
Graph is a ubiquitous data structure in data science that is widely applied in social networks, knowledge representation graphs, recommendation systems, etc. When given a graph dataset consisting of one graph or more graphs, where the graphs are weighted in general, the first step is often to ...
The main ingredient in the proof is a new structural result on weighted graphs with a forbidden subdivision.doi:10.1002/jgt.22045Ggol, AdamMicek, PiotrWalczak, BartoszJohn Wiley & Sons, LtdJournal of Graph TheoryAdam Gagol, Piotr Micek, and Bartosz Walczak. Graph sharing game and the struc...
The network comparison comes from the graph comparison in graph theory. Early graph comparison methods, such as graph isomorphism21,22 and edit distance23,24,25, are mainly based on graph matching26 technology to decide whether two graphs are identical. Generally, the algorithms have the time com...
As an effective convex relaxation of the rank minimization model, the tensor nuclear norm minimization based multi-view clustering methods have been attracting more and more interest in recent years. However, most existing clustering methods regularize each singular value equally, restricting their capabi...
An optimal parallel algorithm for solving all-pairs shortest paths problem on circular-arc graphs The shortest-paths problem is a fundamental problem in graph theory and finds diverse applications in various fields. This is why shortest path algorithms ... A Saha,M Pal,TK Pal - 《Journal of ...
In particular, a polynomial time algorithm for the layout of such graphs is developed when ordering information is specified (for example, when an embedding of the graph must be respected). Determining bar-representability for weighted undirected graphs is equivalent to solving the following flow ...