Guided graph spectral embedding: Application to the C. elegans connectome
Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain. Recent efforts in graph signal processing have proposed new decompositions—for example, based on wavelets and Slepians—that can be applied to filt...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2019-07-01
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| Series: | Network Neuroscience |
| Subjects: | |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00084 |