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WIRN
2005
Springer
14 years 28 days 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...
OPODIS
2008
13 years 9 months ago
Graph Augmentation via Metric Embedding
Kleinberg [17] proposed in 2000 the first random graph model achieving to reproduce small world navigability, i.e. the ability to greedily discover polylogarithmic routes between a...
Emmanuelle Lebhar, Nicolas Schabanel
FCS
2009
13 years 5 months ago
Circuits as a Classifier for Small-World Network Models
The number and length distribution of circuits or loops in a graph or network give important insights into its key characteristics. We discuss the circuit properties of various sm...
Arno Leist, Kenneth A. Hawick
COMBINATORICS
2006
121views more  COMBINATORICS 2006»
13 years 7 months ago
Permutation Reconstruction from Minors
We consider the problem of permutation reconstruction, which is a variant of graph reconstruction. Given a permutation p of length n, we delete k of its entries in each possible w...
Mariana Raykova
CORR
2008
Springer
174views Education» more  CORR 2008»
13 years 7 months ago
Bounded Budget Connection (BBC) Games or How to make friends and influence people, on a budget
Motivated by applications in social networks, peer-to-peer and overlay networks, we define and study the Bounded Budget Connection (BBC) game - we have a collection of n players o...
Nikolaos Laoutaris, Laura J. Poplawski, Rajmohan R...