The increasing gap in processor and memory speeds has forced microprocessors to rely on deep cache hierarchies to keep the processors from starving for data. For many applications...
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
Graphplan planning graphs are structures widely used in modern planners. The exclusion relations calculated in the planning graph extension provide very useful information, especi...
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...