SHEEP, a Signed Hamiltonian Eigenvector Embedding for Proximity
Signed network embedding methods allow for a low-dimensional representation of nodes and primarily focus on partitioning the graph into clusters, hence losing information on continuous node attributes. Here, we introduce a spectral embedding algorithm for understanding proximal relationships between...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer Nature
2024
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