3 papers
cs.SI2019
Network Lens: Node Classification in Topologically Heterogeneous Networks
Kshiteesh Hegde, Malik Magdon-Ismail
We study the problem of identifying different behaviors occurring in different parts of a large heterogenous network. We zoom in to the network using lenses of different sizes to c…
cs.SI2019
The Intrinsic Scale of Networks is Small
Malik Magdon-Ismail, Kshiteesh Hegde
We define the intrinsic scale at which a network begins to reveal its identity as the scale at which subgraphs in the network (created by a random walk) are distinguishable from si…
cs.CV2018
Network Signatures from Image Representation of Adjacency Matrices: Deep/Transfer Learning for Subgraph Classification
Kshiteesh Hegde, Malik Magdon-Ismail, Ram Ramanathan +1
We propose a novel subgraph image representation for classification of network fragments with the targets being their parent networks. The graph image representation is based on 2D…