Abstract. In the paper two notions related to local (distributed) computations are identified and discussed. The first one is the notion of reducible graphs. A graph is reducible...
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
: TGraphs are directed graphs with typed, attributed, and ordered nodes and edges. These properties leverage the use of graphs as models for all kinds of artifacts in the context o...
Graph transformations are one of the best known approaches for defining transformations in model-based software development. They are defined over the abstract syntax of source and...
The structural properties of graphs are usually characterized in terms of invariants, which are functions of graphs that do not depend on the labeling of the nodes. In this paper ...
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. W...