Applications of deep network signatures to subgraph classification, quantification of network structure and topologically heterogeneous node classification

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Authors
Hegde, Kshiteesh
Issue Date
2018-08
Type
Electronic thesis
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Language
ENG
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Computer science
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Abstract
3. study network structure. We introduce a novel concept to quantify network structure. We build on the success of the lossless image embedding feature to show that different networks have different intrinsic scales at which they exhibit structure.
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August 2018
School of Science
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Rensselaer Polytechnic Institute, Troy, NY
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