Results 11 to 20 of about 827,001 (270)
Outlier edge detection using random graph generation models and applications [PDF]
Outliers are samples that are generated by different mechanisms from other normal data samples. Graphs, in particular social network graphs, may contain nodes and edges that are made by scammers, malicious programs or mistakenly by normal users ...
Honglei Zhang +2 more
doaj +5 more sources
A graph rewriting programming language for graph drawing [PDF]
This paper describes Grrr, a prototype visual graph drawing tool. Previously there were no visual languages for programming graph drawing algorithms despite the inherently visual nature of the process.
Rodgers, Peter
core +1 more source
Dynamic Algorithms for Graph Coloring [PDF]
We design fast dynamic algorithms for proper vertex and edge colorings in a graph undergoing edge insertions and deletions. In the static setting, there are simple linear time algorithms for $(\Delta+1)$- vertex coloring and $(2\Delta-1)$-edge coloring ...
Bhattacharya, Sayan +3 more
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A survey of graph-based algorithms for discovering business processes
Algorithms of process discovery help analysts to understand business processes and problems in a system by creating a process model based on a log of the system. There are existing algorithms of process discovery, namely graph-based.
Riyanarto Sarno, Kelly Rossa Sungkono
doaj +1 more source
On sampling nodes in a network [PDF]
Random walk is an important tool in many graph mining applications including estimating graph parameters, sampling portions of the graph, and extracting dense communities.
CHIERICHETTI, FLAVIO +4 more
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Graph Extremities Defined by Search Algorithms
Graph search algorithms have exploited graph extremities, such as the leaves of a tree and the simplicial vertices of a chordal graph. Recently, several well-known graph search algorithms have been collectively expressed as two generic algorithms called ...
Jean-Paul Bordat +3 more
doaj +1 more source
Average Sensitivity of Graph Algorithms
In modern applications of graphs algorithms, where the graphs of interest are large and dynamic, it is unrealistic to assume that an input representation contains the full information of a graph being studied.
Varma, Nithin, Yoshida, Yuichi
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Planar Induced Subgraphs of Sparse Graphs [PDF]
We show that every graph has an induced pseudoforest of at least $n-m/4.5$ vertices, an induced partial 2-tree of at least $n-m/5$ vertices, and an induced planar subgraph of at least $n-m/5.2174$ vertices. These results are constructive, implying linear-
A. Lubotzky +6 more
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Undergraduate Students’ Solutions of Modeling Problems in Algorithmic Graph Theory
Graphs can be considered as useful mathematical models. Graph algorithms are a common part of undergraduate courses in discrete mathematics. Even though they have been successfully implemented in secondary curricula, little research has been dedicated to
Janka Medová +3 more
doaj +1 more source
Leanness Computation: Small Values and Special Graph Classes [PDF]
Let u and v be vertices in a connected graph G = (V, E). For any integer k such that 0 ≤ k ≤ dG (u, v), the k-slice Sk (u, v) contains all vertices x on a shortest uv-path such that dG (u, x) = k.
David Coudert +2 more
doaj +1 more source

