Applications of deep network signatures to subgraph classification, quantification of network structure and topologically heterogeneous node classification
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Authors
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Issue Date
Type
Electronic thesis
Thesis
Thesis
Language
ENG
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Degree
PhD
Alternative Title
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.
Description
August 2018
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY
