: Hierarchical graphs are graphs with layering structures; clustered graphs are graphs with recursive clustering structures. Both have applications in VLSI design, CASE tools, soft...
Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large ...
This paper presents a Web page indexation model. In this model, a Web page is not viewed as a whole, but as a combination of a set of blocks based on their visual rendering, where ...
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
Graph-structured databases and related problems such as reachability query processing have been increasingly relevant to many applications such as XML databases, biological databas...