63 search results - page 7 / 13 » Discovering frequent topological structures from graph datas... |
AI
2008
Springer
13 years 7 months ago
2008
Springer
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
KDD
2005
ACM
14 years 29 days ago
2005
ACM
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
CIDM
2009
IEEE
13 years 11 months ago
2009
IEEE
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...