A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Graph Wavelets for Multiscale Community Mining
2014
IEEE Transactions on Signal Processing
We develop a signal processing approach to the multiscale detection of communities in networks, that is of groups of nodes well connected together. The method relies on carefully engineered wavelets on graphs to introduce the notion of scale and to obtain a local view of the graph from each node. Computing the correlations between wavelets centered at different nodes, one has access to a notion of similarity between nodes, thereby enabling a clustering procedure that groups nodes according to
doi:10.1109/tsp.2014.2345355
fatcat:ehcbr5o3hfgvbn7sg6w7dfquui