Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger graph. Identification of the graphlets that a vertex in an explored graph touches can provide useful information about the local structure of the graph around that vertex. Actually finding all graphlets in a large graph can be time-consuming, however. As the graphlets grow in size, more different graphlets emerge and the time needed to find each graphlet also scales up. If it is not needed to find each instance of each graphlet, but knowing the number of graphlets touching each node of the graph suffices, the problem is less hard. Previous research shows a way to simplify counting the graphlets: instead of looking for the graphlets needed, s...
<p>(A) In total, there are 30 different graphlets containing 2 to 5 nodes, ranging from <i>G</i><sub...
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
It is increasingly common to find real-life structures or behaviors represented as graphs in many ar...
<div><p>Graphlets are small subgraphs, usually containing up to five vertices, that can be found in ...
Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger...
Motivation: Graphlets are a useful tool to determine a graph's small-scale structure. Finding them i...
Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger...
Graphlet analysis is an approach to network analysis that is particularly popular in bioinformatics....
Background: Graphlets are useful for bioinformatics network analysis. Based on the structure of Hoče...
As the world is flooded with data, the demand for mining data for useful purposes is increasing. An ...
Graphlet analysis is a useful tool for describing local network topology around individual nodes or ...
Graphlets are small connected induced subgraphs of a larger graph G. Graphlets are now commonly used...
The thesis deals with a newer method of network analysis which is based on small connected induced s...
In recent years, graphlet counting has emerged as an important task in topological graph analysis. H...
Abstract—From social science to biology, numerous applica-tions often rely on graphlets for intuitiv...
<p>(A) In total, there are 30 different graphlets containing 2 to 5 nodes, ranging from <i>G</i><sub...
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
It is increasingly common to find real-life structures or behaviors represented as graphs in many ar...
<div><p>Graphlets are small subgraphs, usually containing up to five vertices, that can be found in ...
Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger...
Motivation: Graphlets are a useful tool to determine a graph's small-scale structure. Finding them i...
Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger...
Graphlet analysis is an approach to network analysis that is particularly popular in bioinformatics....
Background: Graphlets are useful for bioinformatics network analysis. Based on the structure of Hoče...
As the world is flooded with data, the demand for mining data for useful purposes is increasing. An ...
Graphlet analysis is a useful tool for describing local network topology around individual nodes or ...
Graphlets are small connected induced subgraphs of a larger graph G. Graphlets are now commonly used...
The thesis deals with a newer method of network analysis which is based on small connected induced s...
In recent years, graphlet counting has emerged as an important task in topological graph analysis. H...
Abstract—From social science to biology, numerous applica-tions often rely on graphlets for intuitiv...
<p>(A) In total, there are 30 different graphlets containing 2 to 5 nodes, ranging from <i>G</i><sub...
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
It is increasingly common to find real-life structures or behaviors represented as graphs in many ar...