One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...

Frequently large knowledge bases are represented by graphs. Many visualization tools allow users or other applications to interact with and adjust the layouts of these graphs. One layout adjustment problem is that of showing more detail without eliding parts of the graph. Approaches based on a sheye lens paradigm seem well suited to this task. However, many of these techniques are non-trivial t...

understanding cattle metabolism and its relationship with milk products is important in bovine breeding. a systemic view could lead to consequences that will result in a better understanding of existing concepts. topological indices and quantitative characterizations mostly result from the application of graph theory on biological data. in the present work, the enzyme network involved in cattle...

Many applications involve objects containing structure and rich content information, each describing different feature aspects of the object. Graph learning and classification is a common tool for handling such objects. To date, existing graph classification has been limited to the single-graph setting with each object being represented as one graph from a single structure-view. This inherently...

Graph processing challenges are common in modern database systems, with the property graph data model gaining widespread adoption [29]. Due to the novelty of the eld, graph databases and frameworks typically provide their own query language, such as Cypher for Neo4j [27], Gremlin for TinkerPop [28] and GraphScript for SAP HANA [24]. These languages often lack a formal background for their data ...

This paper describes a purely visual navigation scheme based on two elementary mechanisms (piloting and guidance) and a graph structure combining individual navigation steps controlled by these mechanisms. In robot experiments in real environments, both mechanisms have been tested, piloting in an open environment and guidance in a maze with restricted movement opportunities. The results indicat...

We propose a novel approach for recognizing 3D CADmade objects in complex range images containing several overlapped and different objects. Objects are modeled by a graph whose nodes are surfaces and arcs are surface relations. We propose an object-centered graph model, called Visual Constraint graph (VC-graph), with special visual constraints modeling occlusions between object surfaces. The VC...

• We are interested in interactive light field segmentation from a reference view. • Challenge for light fields: the amount of data to process in order to edit all the views simultaneously. • In particular, the running time for graph-based approaches, such as graph-cut, increases greatly with the size of the input graph. • We assume a depth map to be known for each view. Our Method Building The...

In order to be able to put forth in a systematic way our conception of knowledge representation (KR), we will start in the next section (section 2) with some general remarks concerning the problem of KR. In section 3 we will discuss several aspects of knowledge management that is, following our point of view, the domain of reference of KR. In section 4, we will give a short characterization of ...