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» Benchmarking for Graph Transformation
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ICML
2009
IEEE
14 years 11 months ago
Learning spectral graph transformations for link prediction
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...
Andreas Lommatzsch, Jérôme Kunegis
WSR
2008
14 years 11 days ago
Graph Technology in Reverse Engineering: The TGraph Approach
: 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...
Jürgen Ebert, Volker Riediger, Andreas Winter
ERSHOV
2006
Springer
14 years 27 days ago
On the Usage of Concrete Syntax in Model Transformation Rules
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...
Thomas Baar, Jon Whittle
ICCAD
1998
IEEE
80views Hardware» more  ICCAD 1998»
14 years 3 months ago
On the optimization power of retiming and resynthesis transformations
Retiming and resynthesis transformations can be used for optimizing the area, power, and delay of sequential circuits. Even though this technique has been known for more than a de...
Rajeev K. Ranjan, Vigyan Singhal, Fabio Somenzi, R...
ICASSP
2010
IEEE
13 years 9 months ago
Unidirectional graph-based wavelet transforms for efficient data gathering in sensor networks
We design lifting-based wavelet transforms for any arbitrary communication graph in a wireless sensor network (WSN). Since transmitting raw data bits along the routing trees in WS...
Sunil K. Narang, Godwin Shen, Antonio Ortega