Results 31 to 40 of about 135,666 (285)
Broadcast Congested Clique [PDF]
We develop techniques to prove lower bounds for the BCAST(log n) Broadcast Congested Clique model (a distributed message passing model where in each round, each processor can broadcast an O(log n)-sized message to all other processors). Our techniques are built to prove bounds for natural input distributions.
Chen, Lijie, Grossman, Ofer
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Maxclique and Unit Disk Characterizations of Strongly Chordal Graphs
Maxcliques (maximal complete subgraphs) and unit disks (closed neighborhoods of vertices) sometime play almost interchangeable roles in graph theory. For instance, interchanging them makes two existing characterizations of chordal graphs into two new ...
Caria Pablo De, McKee Terry A.
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Clique densification in networks
14 pages, 11 figures.
Haochen Pi +3 more
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On maximizing clique, clique-Helly and hereditary clique-Helly induced subgraphs [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alcón, Liliana Graciela +3 more
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A Note on the Signed Clique Domination Numbers of Graphs
Let G=V,E be a graph. A function f:E⟶−1,+1 is said to be a signed clique dominating function (SCDF) of G if ∑e∈EKfe≥1 holds for every nontrivial clique K in G. The signed clique domination number of G is defined as γscl′G=min∑e∈EGfe|fis an SCDF ofG.
Baogen Xu, Ting Lan, Mengmeng Zheng
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An Algebraic Approach to Clustering and Classification with Support Vector Machines
In this note, we propose a novel classification approach by introducing a new clustering method, which is used as an intermediate step to discover the structure of a data set.
Güvenç Arslan +2 more
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On a class of polynomials associated with the Cliques in a graph and its applications
The clique polynomial of a graph is defined. An explicit formula is then derived for the clique polynomial of the complete graph. A fundamental theorem and a reduction process is then given for clique polynomials.
E. J. Farrell
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Hard optimization problems have soft edges
Finding a Maximum Clique is a classic property test from graph theory; find any one of the largest complete subgraphs in an Erdös-Rényi G(N, p) random graph. We use Maximum Clique to explore the structure of the problem as a function of N, the graph size,
Raffaele Marino, Scott Kirkpatrick
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Between Treewidth and Clique-width [PDF]
Many hard graph problems can be solved efficiently when restricted to graphs of bounded treewidth, and more generally to graphs of bounded clique-width.
B Courcelle +12 more
core +1 more source
We study how many copies of a graph $F$ that another graph $G$ with a given number of cliques is guaranteed to have. For example, one of our main results states that for all $t\ge 2$, if $G$ is an $n$ vertex graph with $kn^{3/2}$ triangles and $k$ is sufficiently large in terms of $t$, then $G$ contains at least \[\Omega(\min\{k^t n^{3/2},k^{\frac{2t^2}
Quentin Dubroff +3 more
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