779 search results - page 21 / 156 » Spectral Generative Models for Graphs |
SDM
2004
SIAM
15 years 1 months ago
2004
SIAM
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
ESANN
2007
15 years 1 months ago
2007
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
NIPS
2003
15 years 1 months ago
2003
This paper addresses the problem of untangling hidden graphs from a set of noisy detections of undirected edges. We present a model of the generation of the observed graph that in...
155
click to vote
ICML
2003
IEEE
16 years 16 days ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
115
click to vote
ASUNAM
2011
IEEE
13 years 11 months ago
2011
IEEE
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...