Clustered graphs are graphs with recursive clustering structures over the vertices. For graphical representation, the clustering structure is represented by a simple region that contains the drawing of all the vertices which belong to that cluster. In this paper, we present an algorithm which produces planar drawings of clustered graphs in a convention known as orthogonal grid rectangular cluster drawings. We present an algorithm which produces such drawings with O(n²) area and with at most 3 bends in each edge. This result is as good as existing results of planar graphs. Further, we show that our algorithm is optimal in terms of the number of bends in each edge
AbstractAn orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn ...
An orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn as sequ...
Abstract. In this paper we present a novel approach for cluster-based drawing of large planar graphs...
Clustered graphs are graphs with recursive clustering structures over the vertices. For graphical re...
We propose a planarization algorithm for clustered graphs and experimentally test its efficiency and...
Clustered graphs are graphs with recursive clustering structures over the vertices. This type of str...
AbstractAn orthogonal drawing of a graph is a drawing such that vertices are placed on grid points a...
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar gr...
Hierarchical graphs and clustered graphs are useful nonclassical graph models for structured relatio...
We show how to utilize the cactus representation of all minimum cuts of a graph to visualize the min...
We show how utilize the cactus representation of all minimum cuts of a graph to visualize the minimu...
We describe a branch-and-bound algorithm for computing an orthogonal grid drawing with the minimum n...
In this paper we present a new algorithm that constructs an orthogonal drawing of a graph G with deg...
An orthogonal drawing of a graph is a drawing such that vertices are placed on grid points and edges...
An orthogonal drawing of a graph is a drawing such that nodes are placed on grid points and edges ar...
AbstractAn orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn ...
An orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn as sequ...
Abstract. In this paper we present a novel approach for cluster-based drawing of large planar graphs...
Clustered graphs are graphs with recursive clustering structures over the vertices. For graphical re...
We propose a planarization algorithm for clustered graphs and experimentally test its efficiency and...
Clustered graphs are graphs with recursive clustering structures over the vertices. This type of str...
AbstractAn orthogonal drawing of a graph is a drawing such that vertices are placed on grid points a...
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar gr...
Hierarchical graphs and clustered graphs are useful nonclassical graph models for structured relatio...
We show how to utilize the cactus representation of all minimum cuts of a graph to visualize the min...
We show how utilize the cactus representation of all minimum cuts of a graph to visualize the minimu...
We describe a branch-and-bound algorithm for computing an orthogonal grid drawing with the minimum n...
In this paper we present a new algorithm that constructs an orthogonal drawing of a graph G with deg...
An orthogonal drawing of a graph is a drawing such that vertices are placed on grid points and edges...
An orthogonal drawing of a graph is a drawing such that nodes are placed on grid points and edges ar...
AbstractAn orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn ...
An orthogonal drawing of a graph is an embedding in the plane such that all edges are drawn as sequ...
Abstract. In this paper we present a novel approach for cluster-based drawing of large planar graphs...