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DCC
2008
IEEE
15 years 10 months ago
Adaptive Compression of Graph Structured Text
In this paper we introduce an adaptive technique for compressing small quantities of text which are organized as a rooted directed graph. We impose a constraint on the technique s...
John Gilbert, David M. Abrahamson
IJCNN
2006
IEEE
15 years 10 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
SOFTVIS
2006
ACM
15 years 10 months ago
Semantic web data visualization with graph style sheets
Visual paradigms such as node-link diagrams are well suited to the representation of Semantic Web data encoded with the Resource Description Framework (RDF), whose data model can ...
Emmanuel Pietriga
WIRN
2005
Springer
15 years 9 months ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
ERLANG
2004
ACM
15 years 9 months ago
Flow graphs for testing sequential Erlang programs
Testing of software components during development is a heavily used approach to detect programming errors and to evaluate the quality of software. Systematic approaches to softwar...
Manfred Widera