1736 search results - page 40 / 348 » On antimagic directed graphs |
AINA
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents structural properties of the Thai Web graph. We conduct an empirical study on the Web graphs induced from two Thai web snapshots crawled during January 2007 (5...
DCC
2008
IEEE
14 years 2 months ago
2008
IEEE
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...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— 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...
SOFTVIS
2006
ACM
14 years 1 months ago
2006
ACM
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 ...
WIRN
2005
Springer
14 years 1 months ago
2005
Springer
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...