<p>Vertices a, b are matched vertices that have not been contracted. Vertices c, d are unmatched. Black solid edges are derived from PG(G<sub>obs</sub>), CPG(G<sub>obs</sub>) or contracted edges. The four different paths found by <b>find_path(u, v)</b> are as follows: (1) (u, v) (green), (2) (u, a, b, v) (blue), (3) (u, b, a, c, v) (orange), and (4) (u, d, v) (pink). In graph A, the first two paths are odd and form two even cycles – (u, v, u) and (u, a, b, v, u) – by adding the gray edge (u, v) in the top right panel. The former disappears after contraction, while the latter generates a new black edge (a, b) in the bottom left panel. The last two paths are merged by two same gray edges (u, v) to form an even cycle – (u, b, a, c, v, u, d, v,...
<p>(a) Complete match, (b, c) Partial match. Positive matches correspond to blue edges and mismatche...
AbstractGiven two distinct branchings of a directed graph G, we present several conditions which are...
Graph matching is considered the recognition step in computer vision. Our work uses attributed relat...
<p>In computer science, graphs are used in variety of applications directly or indirectly. Especiall...
A graph G = (V,E) is a structure which consists of a finite nonempty set V of vertices and a set E o...
<p>Vertices u, v are matched. The upper path is (u, a, b, c, d, e, f, v), and the bottom path is (u,...
Graphs are widely used in many fields of research, ranging from natural sciences to computer and mat...
Matching A matching M of a graph G = (V,E) is a subset of edges with the property that no two edges ...
Comparing scene, pattern or object models to structures in images or determining the correspondence ...
In graphs, the concept of adjacency is clearly defined: it is a pairwise relationship between vertic...
AbstractIn edge colouring it is often useful to have information about the degree distribution of th...
AbstractGiven a graph G = (V,E) and an integer vector bϵNv, a b-matching is a set of edges F⊂E such ...
Abstract — Approximate graph matching (AGM) refers to the problem of mapping the vertices of two str...
Z is here PPI, a set of PPIs, X and Y are DL and DR, two sets of Pfam domains. Each item in PPI is a...
We present a graph-based hierarchical clustering method for chaining edges together into boundaries....
<p>(a) Complete match, (b, c) Partial match. Positive matches correspond to blue edges and mismatche...
AbstractGiven two distinct branchings of a directed graph G, we present several conditions which are...
Graph matching is considered the recognition step in computer vision. Our work uses attributed relat...
<p>In computer science, graphs are used in variety of applications directly or indirectly. Especiall...
A graph G = (V,E) is a structure which consists of a finite nonempty set V of vertices and a set E o...
<p>Vertices u, v are matched. The upper path is (u, a, b, c, d, e, f, v), and the bottom path is (u,...
Graphs are widely used in many fields of research, ranging from natural sciences to computer and mat...
Matching A matching M of a graph G = (V,E) is a subset of edges with the property that no two edges ...
Comparing scene, pattern or object models to structures in images or determining the correspondence ...
In graphs, the concept of adjacency is clearly defined: it is a pairwise relationship between vertic...
AbstractIn edge colouring it is often useful to have information about the degree distribution of th...
AbstractGiven a graph G = (V,E) and an integer vector bϵNv, a b-matching is a set of edges F⊂E such ...
Abstract — Approximate graph matching (AGM) refers to the problem of mapping the vertices of two str...
Z is here PPI, a set of PPIs, X and Y are DL and DR, two sets of Pfam domains. Each item in PPI is a...
We present a graph-based hierarchical clustering method for chaining edges together into boundaries....
<p>(a) Complete match, (b, c) Partial match. Positive matches correspond to blue edges and mismatche...
AbstractGiven two distinct branchings of a directed graph G, we present several conditions which are...
Graph matching is considered the recognition step in computer vision. Our work uses attributed relat...