The SVR algorithm is implemented by PageRank over a hybrid image link graph, which is the combination of an image social-link graph and an image visual-link graph.
A well-known web-scale graph is the link graph, which was popularized and embraced by Google's PageRank.
This algorithm uses the Power method to compute successive iterates that converge to the principal eigenvector of the Markov chain representing the Web link graph.
One algorithmic limitation of our approach is the fact that we rely on Wikipedia's interlanguage link graph to identify articles on the same concepts in different language editions.
Links that have existed for a long time weigh more heavily in your website's link graph.
Then, we extract edge clusters from the weighted link graph.
Specifically, the protein-protein interaction data can be modeled as a graph by considering individual proteins as the nodes, and the existence of an interaction between a pair of proteins as a link, graph-based or kernel-based classification algorithms are then used for protein data classification tasks based upon the protein interaction network [ 7- 10].
(Credit for linked graphs: Peter Dodds).
Other tools such as Ondex [30] display biological data as a set of linked graphs with the nodes representing a data object and the edges representing a relationship between the two nodes (http://ondex.sourceforge.net/).net/
Furthermore, node-link graphs quickly turn into 'hairballs' for large numbers of nodes.
The imported data may be visualized using Ondex (in.oxl format), which displays data as a set of linked graphs where nodes represent data objects (i.e., pathway, reaction, gene, enzyme, drug, KEGG ortholog group, etc).
