Algorithms for finding structure in data have become increasingly important both as tools for
scientific data analysis and as models of human learning, yet they suffer from a critical …

The area of graph grammars is theoretically attractive and well motivated byvarious
applications. More than 20 years ago, the concept of graph grammars was introduced by A …

The framework of graph transformation combines the potentials and advantages of both,
graphs and rules, to a single computational paradigm. In this paper we present some recent …

This paper deals with supporting the design of building floor plans. Floor layouts are
represented by labelled and attributed graphs. These graphs are generated using graph …

Graphs are a popular data structure, and graph-manipulation programs are common. Graph
manipulations can be cleanly, compactly, and explicitly described using graph-rewriting …

This is a book for those who are both curious and mathematically sophisticated. I was
excited by the title, always having had a fascination with the beauty and elegance of …

Abstract The Very High Level language PROGRESS presented within this paper is the first
statically typed language which is based on the concepts of PRO grammed Graph RE …

We present an algorithm for the inference of context-free graph grammars from examples.
The algorithm builds on an earlier system for frequent substructure discovery, and is biased …

Graph grammars are a promising tool for solving picture processing problems. However, the
application of graph grammars to diagram recognition has been limited to rather simple …

Abstract Model-integrated computing (MIC) is a methodology for the development of
computer-based systems (CBSs). MIC predicates that models are developed according to a …