Results 11 to 20 of about 2,192,848 (347)
Density-Friendly Graph Decomposition [PDF]
Decomposing a graph into a hierarchical structure via k-core analysis is a standard operation in any modern graph-mining toolkit. k-core decomposition is a simple and efficient method that allows to analyze a graph beyond its mere degree distribution ...
Nikolaj Tatti
semanticscholar +7 more sources
Monochromatic Clique Decompositions of Graphs [PDF]
Let $G$ be a graph whose edges are coloured with $k$ colours, and $\mathcal H=(H_1,\dots , H_k)$ be a $k$-tuple of graphs. A monochromatic $\mathcal H$-decomposition of $G$ is a partition of the edge set of $G$ such that each part is either a single edge
Győri E. +6 more
core +7 more sources
Decomposition of complete graphs into small graphs [PDF]
In 1967, A. Rosa proved that if a bipartite graph \(G\) with \(n\) edges has an \(\alpha\)-labeling, then for any positive integer \(p\) the complete graph \(K_{2np+1}\) can be cyclically decomposed into copies of \(G\).
Dalibor Froncek
doaj +3 more sources
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Yair Caro, Raphael Yuster
openalex +4 more sources
Graph Decomposition and Parity [PDF]
Motivated by a recent extension of the zero-one law by Kolaitis and Kopparty, we study the distribution of the number of copies of a fixed disconnected graph in the random graph $G(n,p)$. We use an idea of graph decompositions to give a sufficient condition for this distribution to tend to uniform modulo $q$. We determine the asymptotic distribution of
Amanda Redlich, Bobby DeMarco
openaire +3 more sources
An Efficient Subgraph Isomorphism Solver for Large Graphs
For a given pair of pattern and data graphs, the subgraph isomorphism finding problem locates all instances of the pattern graph into the data graph. For a given subgraph isomorphic image of the pattern graph in a data graph, the set of all ordered pairs
Zubair Ali Ansari +2 more
doaj +1 more source
Constrained ear decompositions in graphs and digraphs [PDF]
Ear decompositions of graphs are a standard concept related to several major problems in graph theory like the Traveling Salesman Problem. For example, the Hamiltonian Cycle Problem, which is notoriously N P-complete, is equivalent to deciding whether a ...
Frédéric Havet, Nicolas Nisse
doaj +1 more source
End-to-End Learning for Graph Decomposition [PDF]
Deep neural networks provide powerful tools for pattern recognition, while classical graph algorithms are widely used to solve combinatorial problems. In computer vision, many tasks combine elements of both pattern recognition and graph reasoning.
Jie Song +4 more
semanticscholar +1 more source
Note on decompositions based on the vertex-removing synchronised graph product
Recently, we have introduced two graph-decomposition theorems based on a new graph product, motivated by applications in the context of synchronising periodic real-time processes. This vertex-removing synchronised product (VRSP) is based on modifications
Antoon Hendrik Boode
doaj +1 more source
Capturing Polynomial Time using Modular Decomposition [PDF]
The question of whether there is a logic that captures polynomial time is one of the main open problems in descriptive complexity theory and database theory.
Berit Grußien
doaj +1 more source

